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Ray 分布式机器学习:利用Ray 进行大模型的数据处理、训练、推理和部署
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Ray 分布式机器学习:利用Ray 进行大模型的数据处理、训练、推理和部署

by Max Pumperla, Edward Oakes, Richard Liaw
May 2024
Intermediate
252 pages
5h 31m
Chinese
China Machine Press
Content preview from Ray 分布式机器学习:利用Ray 进行大模型的数据处理、训练、推理和部署
Ray
集群
|
195
(例如
Promtail
)的
sidecar
(边车)容器中(
https://oreil.ly/LyEGy
)。
容器的
STDERR
日志记录
另一种方法是将日志重定向到
STDERR
。为此,可在所有
Ray
容器上设置
环境变量
RAY_LOG_TO_STDERR=1
。对于
Kubernetes
配置,这意味着在每个
Ray
groupSpec
Ray
容器的
env
字段中添加一个条目:
env:
...
- name: "RAY_LOG_TO_STDERR"
value: "1"
...
然后,可以使用面向
STDERR
STDOUT
流的
Kubernetes
日志记录工具进行日志
聚合。
9.3
使用
Ray
集群启动器
Ray
集群启动器的目标是在任何云环境中轻松部署
Ray
集群。
Ray
集群启动器
的功能如下所示:
使用云提供商的
SDK
创建新的实例
/
虚拟机。
执行
shell
命令以使用提供的选项来设置
Ray
运行任何用户自定义的设置命令。这对于设置环境变量和安装软件包非常
有用
6
1
初始化
Ray
集群。
部署自动扩展器进程。
我们将在
9.5
节详细介绍自动扩展的细节。接下来,我们介绍使用集群启动器部
Ray
集群。为此,你需要提供一个集群配置文件。
9.3.1
配置
Ray
集群
要运行
Ray
集群,必须在集群配置文件中指定资源需求。
6:要在部署集群后动态设置环境,可以使用运行时环境。
  ...
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Publisher Resources

ISBN: 9787111753384