未验证 提交 88034630 编写于 作者: J Jiawei Wang 提交者: GitHub

Merge pull request #1059 from HexToString/fix_encoding_bug

fix doc and delete unused file
......@@ -115,24 +115,12 @@ python test_asyn_client.py
python test_batch_client.py
```
#### 通用 pb 预测
``` shell
python test_general_pb_client.py
```
#### 预测超时
``` shell
python test_timeout_client.py
```
#### List 输入
``` shell
python test_list_input_client.py
```
## 3.更多示例
详见[`python/examples/grpc_impl_example`](../python/examples/grpc_impl_example)下的示例文件。
......@@ -18,7 +18,7 @@ The following table shows compatibilities between Paddle Serving Server and Java
| Paddle Serving Server version | Java SDK version |
| :---------------------------: | :--------------: |
| 0.3.2 | 0.0.1 |
| 0.5.0 | 0.0.1 |
1. Directly use the provided Java SDK as the client for prediction
### Install Java SDK
......
......@@ -17,7 +17,7 @@ Paddle Serving 提供了 Java SDK,支持 Client 端用 Java 语言进行预测
| Paddle Serving Server version | Java SDK version |
| :---------------------------: | :--------------: |
| 0.3.2 | 0.0.1 |
| 0.5.0 | 0.0.1 |
1. 直接使用提供的Java SDK作为Client进行预测
### 安装
......
# 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.
# pylint: disable=doc-string-missing
from paddle_serving_client import Client
import numpy as np
import sys
client = Client()
client.load_client_config(sys.argv[1])
client.connect(["127.0.0.1:9393"])
import paddle
test_reader = paddle.batch(
paddle.reader.shuffle(
paddle.dataset.uci_housing.test(), buf_size=500),
batch_size=1)
for data in test_reader():
fetch_map = client.predict(
feed={"x": np.array(data[0][0])}, fetch=["price"])
print("{} {}".format(fetch_map["price"][0][0], data[0][1][0]))
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