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!204 Serving r1.2 update version number in docs

Merge pull request !204 from 徐永飞/r1.2
tags/v1.2.0
徐永飞 Gitee 5 years ago
parent
commit
29206b1fa9
5 changed files with 26 additions and 26 deletions
  1. +9
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      README.md
  2. +9
    -9
      README_CN.md
  3. +2
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      mindspore_serving/worker/_worker.py
  4. +2
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      mindspore_serving/worker/distributed/distributed_worker.py
  5. +4
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      mindspore_serving/worker/register/method.py

+ 9
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README.md View File

@@ -40,7 +40,7 @@ MindSpore Serving provides the following functions:

## Installation

MindSpore Serving depends on the MindSpore training and inference framework. Therefore, install [MindSpore](https://gitee.com/mindspore/mindspore/blob/master/README.md#installation) and then MindSpore Serving.
MindSpore Serving depends on the MindSpore training and inference framework. Therefore, install [MindSpore](https://gitee.com/mindspore/mindspore/blob/r1.2/README.md#installation) and then MindSpore Serving.

### Installing Serving

@@ -67,7 +67,7 @@ Perform the following steps to install Serving:

In the preceding information, `build.sh` is the build script file in the `serving` directory, and `$MINDSPORE_LIB_PATH` is the `lib` directory in the installation path of the MindSpore software package, for example, `softwarepath/mindspore/lib`. This path contains the library files on which MindSpore depends.

Method 2: Directly build Serving. The MindSpore package is built together with Serving. You need to configure the [environment variables](https://gitee.com/mindspore/docs/blob/master/install/mindspore_ascend_install_source_en.md#configuring-environment-variables) for MindSpore building.
Method 2: Directly build Serving. The MindSpore package is built together with Serving. You need to configure the [environment variables](https://gitee.com/mindspore/docs/blob/r1.2/install/mindspore_ascend_install_source_en.md#configuring-environment-variables) for MindSpore building.

```shell
# GPU
@@ -101,27 +101,27 @@ from mindspore_serving import worker

To run MindSpore Serving, configure the following environment variables:

- MindSpore Serving depends on MindSpore. You need to configure [environment variables](https://gitee.com/mindspore/docs/blob/master/install/mindspore_ascend_install_source_en.md#configuring-environment-variables) to run MindSpore.
- MindSpore Serving depends on MindSpore. You need to configure [environment variables](https://gitee.com/mindspore/docs/blob/r1.2/install/mindspore_ascend_install_source_en.md#configuring-environment-variables) to run MindSpore.

## Quick Start

[MindSpore-based Inference Service Deployment](https://www.mindspore.cn/tutorial/inference/en/master/serving_example.html) is used to demonstrate how to use MindSpore Serving.
[MindSpore-based Inference Service Deployment](https://www.mindspore.cn/tutorial/inference/en/r1.2/serving_example.html) is used to demonstrate how to use MindSpore Serving.

## Documents

### Developer Guide

- [gRPC-based MindSpore Serving Access](https://www.mindspore.cn/tutorial/inference/en/master/serving_grpc.html)
- [RESTful-based MindSpore Serving Access](https://www.mindspore.cn/tutorial/inference/en/master/serving_restful.html)
- [Servable Provided Through Model Configuration](https://www.mindspore.cn/tutorial/inference/en/master/serving_model.html)
- [gRPC-based MindSpore Serving Access](https://www.mindspore.cn/tutorial/inference/en/r1.2/serving_grpc.html)
- [RESTful-based MindSpore Serving Access](https://www.mindspore.cn/tutorial/inference/en/r1.2/serving_restful.html)
- [Servable Provided Through Model Configuration](https://www.mindspore.cn/tutorial/inference/en/r1.2/serving_model.html)

For more details about the installation guide, tutorials, and APIs, see [MindSpore Python API](https://www.mindspore.cn/doc/api_python/en/master/index.html).
For more details about the installation guide, tutorials, and APIs, see [MindSpore Python API](https://www.mindspore.cn/doc/api_python/en/r1.2/index.html).

## Community

### Governance

[MindSpore Open Governance](https://gitee.com/mindspore/community/blob/master/governance.md)
[MindSpore Open Governance](https://gitee.com/mindspore/community/blob/r1.2/governance.md)

### Communication



+ 9
- 9
README_CN.md View File

@@ -67,7 +67,7 @@ MindSpore Serving依赖MindSpore训练推理框架,安装完[MindSpore](https:

其中,`build.sh`为`serving`目录下的编译脚本文件,`$MINDSPORE_LIB_PATH`为MindSpore软件包的安装路径下的`lib`路径,例如,`softwarepath/mindspore/lib`,该路径包含MindSpore运行依赖的库文件。

方式二,直接编译Serving,编译时会配套编译MindSpore的包,需要配置MindSpore编译时的[环境变量](https://gitee.com/mindspore/docs/blob/master/install/mindspore_ascend_install_source.md#配置环境变量) :
方式二,直接编译Serving,编译时会配套编译MindSpore的包,需要配置MindSpore编译时的[环境变量](https://gitee.com/mindspore/docs/blob/r1.2/install/mindspore_ascend_install_source.md#配置环境变量) :

```shell
# GPU
@@ -101,28 +101,28 @@ from mindspore_serving import worker

MindSpore Serving运行需要配置以下环境变量:

- MindSpore Serving依赖MindSpore正确运行,运行MindSpore需要完成[环境变量配置](https://gitee.com/mindspore/docs/blob/master/install/mindspore_ascend_install_pip.md#%E9%85%8D%E7%BD%AE%E7%8E%AF%E5%A2%83%E5%8F%98%E9%87%8F)。
- MindSpore Serving依赖MindSpore正确运行,运行MindSpore需要完成[环境变量配置](https://gitee.com/mindspore/docs/blob/r1.2/install/mindspore_ascend_install_pip.md#%E9%85%8D%E7%BD%AE%E7%8E%AF%E5%A2%83%E5%8F%98%E9%87%8F)。

## 快速入门

以一个简单的[Add网络示例](https://www.mindspore.cn/tutorial/inference/zh-CN/master/serving_example.html),演示MindSpore Serving如何使用。
以一个简单的[Add网络示例](https://www.mindspore.cn/tutorial/inference/zh-CN/r1.2/serving_example.html),演示MindSpore Serving如何使用。

## 文档

### 开发者教程

- [基于gRPC接口访问MindSpore Serving服务](https://www.mindspore.cn/tutorial/inference/zh-CN/master/serving_grpc.html)
- [基于RESTful接口访问MindSpore Serving服务](https://www.mindspore.cn/tutorial/inference/zh-CN/master/serving_restful.html)
- [通过配置模型提供Servable](https://www.mindspore.cn/tutorial/inference/zh-CN/master/serving_model.html)
- [基于MindSpore Serving部署分布式推理服务](https://www.mindspore.cn/tutorial/inference/zh-CN/master/serving_distributed_example.html)
- [基于gRPC接口访问MindSpore Serving服务](https://www.mindspore.cn/tutorial/inference/zh-CN/r1.2/serving_grpc.html)
- [基于RESTful接口访问MindSpore Serving服务](https://www.mindspore.cn/tutorial/inference/zh-CN/r1.2/serving_restful.html)
- [通过配置模型提供Servable](https://www.mindspore.cn/tutorial/inference/zh-CN/r1.2/serving_model.html)
- [基于MindSpore Serving部署分布式推理服务](https://www.mindspore.cn/tutorial/inference/zh-CN/r1.2/serving_distributed_example.html)

有关安装指南、教程和API的更多详细信息,请参阅[用户文档](https://www.mindspore.cn/doc/api_python/zh-CN/master/index.html)。
有关安装指南、教程和API的更多详细信息,请参阅[用户文档](https://www.mindspore.cn/doc/api_python/zh-CN/r1.2/index.html)。

## 社区

### 治理

查看MindSpore如何进行[开放治理](https://gitee.com/mindspore/community/blob/master/governance.md)。
查看MindSpore如何进行[开放治理](https://gitee.com/mindspore/community/blob/r1.2/governance.md)。

### 交流



+ 2
- 2
mindspore_serving/worker/_worker.py View File

@@ -138,7 +138,7 @@ def start_servable(servable_directory, servable_name, version_number=0,
Args:
servable_directory (str): The directory where the servable is located in. There expects to has a directory
named `servable_name`. For more detail:
`How to config Servable <https://www.mindspore.cn/tutorial/inference/zh-CN/master/serving_model.html>`_ .
`How to config Servable <https://www.mindspore.cn/tutorial/inference/zh-CN/r1.2/serving_model.html>`_ .

servable_name (str): The servable name.
version_number (int): Servable version number to be loaded. The version number should be a positive integer,
@@ -198,7 +198,7 @@ def start_servable_in_master(servable_directory, servable_name, version_number=0
Args:
servable_directory (str): The directory where the servable is located in. There expects to has a directory named
`servable_name`. For more detail:
`How to config Servable <https://www.mindspore.cn/tutorial/inference/zh-CN/master/serving_model.html>`_ .
`How to config Servable <https://www.mindspore.cn/tutorial/inference/zh-CN/r1.2/serving_model.html>`_ .

servable_name (str): The servable name.
version_number (int): Servable version number to be loaded. The version number should be a positive integer,


+ 2
- 2
mindspore_serving/worker/distributed/distributed_worker.py View File

@@ -50,7 +50,7 @@ def start_distributed_servable(servable_directory, servable_name, rank_table_jso
Args:
servable_directory (str): The directory where the servable is located in. There expects to has a directory
named `servable_name`. For more detail:
`How to config Servable <https://www.mindspore.cn/tutorial/inference/zh-CN/master/serving_model.html>`_ .
`How to config Servable <https://www.mindspore.cn/tutorial/inference/zh-CN/r1.2/serving_model.html>`_ .

servable_name (str): The servable name.
version_number (int): Servable version number to be loaded. The version number should be a positive integer,
@@ -107,7 +107,7 @@ def start_distributed_servable_in_master(servable_directory, servable_name, rank
Args:
servable_directory (str): The directory where the servable is located in. There expects to has a directory named
`servable_name`. For more detail:
`How to config Servable <https://www.mindspore.cn/tutorial/inference/zh-CN/master/serving_model.html>`_ .
`How to config Servable <https://www.mindspore.cn/tutorial/inference/zh-CN/r1.2/serving_model.html>`_ .

servable_name (str): The servable name.
version_number (int): Servable version number to be loaded. The version number should be a positive integer,


+ 4
- 4
mindspore_serving/worker/register/method.py View File

@@ -80,8 +80,8 @@ def call_preprocess_pipeline(preprocess_fun, *args):
in `preprocess` or `postprocess`, such as using MindData concurrency ability to process multiple input
images in `preprocess`, MindSpore Serving provides 'call_preprocess_pipeline' and 'call_pstprocess_pipeline'
to register such preprocessing and postprocessing. For more detail,
please refer to [Resnet50 model configuration example]
<https://gitee.com/mindspore/serving/blob/master/example/resnet/resnet50/servable_config.py>`_ .
please refer to `Resnet50 model configuration example
<https://gitee.com/mindspore/serving/blob/r1.2/example/resnet/resnet50/servable_config.py>`_ .

Args:
preprocess_fun (function): Python pipeline function for preprocess.
@@ -248,8 +248,8 @@ def call_postprocess_pipeline(postprocess_fun, *args):
in `preprocess` or `postprocess`, such as using MindData concurrency ability to process multiple input
images in `preprocess`, MindSpore Serving provides 'call_preprocess_pipeline' and 'call_pstprocess_pipeline'
to register such preprocessing and postprocessing. For more detail,
please refer to [Resnet50 model configuration example]
<https://gitee.com/mindspore/serving/blob/master/example/resnet/resnet50/servable_config.py>`_ .
please refer to `Resnet50 model configuration example
<https://gitee.com/mindspore/serving/blob/r1.2/example/resnet/resnet50/servable_config.py>`_ .

Args:
postprocess_fun (function): Python pipeline function for postprocess.


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