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移动端AI与ML应用开发:基于iOS和Android
book

移动端AI与ML应用开发:基于iOS和Android

by Laurence Moroney
January 2023
Intermediate to advanced
288 pages
6h 6m
Chinese
China Machine Press
Content preview from 移动端AI与ML应用开发:基于iOS和Android
从移动应用程序访问基于云的模型
|
249
客户端 1
客户端 2
客户端 3
负载均衡器
TF Serving
TF Serving
模型 v1
模型 v2
14-2
:使用托管推理管理不同的模型
在这里你可以看到我有两个不同版本的模型(称为模型 v1 和模型 v2,它们使用负载均
衡器部署到不同的客户端。在图中,我展示了这些是由一个叫作 TF Serving 的东西管理
的,我们接下来将探索如何安装和使用它,包括训练和部署一个简单的模型。
14.1
安装
TensorFlow Serving
TensorFlow Serving 可以安装在两种不同的服务器架构中。第一个,
tensorflow-model-
server
,是一个完全优化的服务器,它为各种架构使用特定于平台的编译器选项。一
般来说,它是首选项,除非你的服务器没有这些架构。替代方案
tensorflow-model-
server-universal
是使用基本优化编译的,适用于所有机器,如果
tensorflow-model-
server
不起作用,它会提供一个很好的备份。你可以通过多种方法安装 TensorFlow
Serving,包括使用 Docker 以及使用
apt
直接安装。我们接下来会看看这两个选项。
14.1.1
使用
Docker
安装
Docker
https://docker.com
)是一种工具,可让你将操作系统和软件依赖项封装到一个
简单易用的镜像中。使用 Docker 可能是快速启动和运行的最简单方法。首先,使用
docker ...
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Publisher Resources

ISBN: 9787111713081