python分布式执行框架Ray的介绍及安装

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说明

1、Ray为构建分布式应用程序提供了一个简单、通用的API。

2、Ray是一种分布式执行框架，便于大规模应用程序和利用先进的机器学习库。

Ray通过以下方式完成这项任务：

为构建和运行分布式应用程序提供简单的原语。

使最终用户能够并行化单个机器代码，而代码更改很少到零。

在核心Ray之上包含大量应用程序、库和工具，以支持复杂的应用程序。

安装方法

[root@node2 ~]# pip install 'ray[default]'
Looking in indexes: https://mirrors.aliyun.com/pypi/simple/
Collecting ray[default]
  Downloading https://mirrors.aliyun.com/pypi/packages/13/ec/f727ddd3fbcdc6102eace62c9d5dd9d9ad8112d40eeb7de8783676aca24d/ray-1.4.1-cp36-cp36m-manylinux2014_x86_64.whl (51.6 MB)
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Requirement already satisfied: requests in /usr/local/lib/python3.6/site-packages (from ray[default]) (2.24.0)
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Collecting prometheus-client>=0.7.1
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Requirement already satisfied: click>=7.0 in /usr/local/lib/python3.6/site-packages (from ray[default]) (7.1.2)
Collecting opencensus
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Collecting grpcio>=1.28.1
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Collecting colorful
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Requirement already satisfied: six>=1.5.2 in /usr/local/lib/python3.6/site-packages (from grpcio>=1.28.1->ray[default]) (1.15.0)
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Collecting multidict<7.0,>=4.5
  Downloading https://mirrors.aliyun.com/pypi/packages/a1/35/b22524d6b9cacfb4c5eff413a069bbc17c6ea628e54da5c6c989998ced5f/multidict-5.1.0-cp36-cp36m-manylinux2014_x86_64.whl (141 kB)
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Collecting idna-ssl>=1.0
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Collecting attrs>=17.3.0
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Requirement already satisfied: chardet<5.0,>=2.0 in /usr/local/lib/python3.6/site-packages (from aiohttp->ray[default]) (3.0.4)
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Collecting async-timeout<4.0,>=3.0
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Requirement already satisfied: idna>=2.0 in /usr/local/lib/python3.6/site-packages (from idna-ssl>=1.0->aiohttp->ray[default]) (2.10)
Collecting hiredis
  Downloading https://mirrors.aliyun.com/pypi/packages/82/72/313fb6d30b7e413c8662447f9a0abe9105494ceb9266ecb08d442c14afbb/hiredis-2.0.0-cp36-cp36m-manylinux2010_x86_64.whl (84 kB)
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Collecting nvidia-ml-py3>=7.352.0
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Collecting psutil
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Collecting blessings>=1.6
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Requirement already satisfied: setuptools in /usr/lib/python3.6/site-packages (from jsonschema->ray[default]) (39.2.0)
Collecting pyrsistent>=0.14.0
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Requirement already satisfied: importlib-metadata in /usr/local/lib/python3.6/site-packages (from jsonschema->ray[default]) (4.3.0)
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Collecting opencensus-context==0.1.2
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Collecting google-api-core<2.0.0,>=1.0.0
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Collecting setuptools
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Requirement already satisfied: pytz in /usr/local/lib/python3.6/site-packages (from google-api-core<2.0.0,>=1.0.0->opencensus->ray[default]) (2020.1)
Collecting cachetools<5.0,>=2.0.0
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Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.6/site-packages (from requests->ray[default]) (1.25.10)
Collecting immutables>=0.9
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Using legacy 'setup.py install' for idna-ssl, since package 'wheel' is not installed.
Using legacy 'setup.py install' for gpustat, since package 'wheel' is not installed.
Using legacy 'setup.py install' for nvidia-ml-py3, since package 'wheel' is not installed.
Using legacy 'setup.py install' for contextvars, since package 'wheel' is not installed.
Installing collected packages: pyasn1, setuptools, rsa, pyparsing, pyasn1-modules, protobuf, multidict, immutables, cachetools, yarl, packaging, idna-ssl, googleapis-common-protos, google-auth, contextvars, attrs, async-timeout, pyrsistent, psutil, opencensus-context, nvidia-ml-py3, hiredis, google-api-core, blessings, aiohttp, redis, pyyaml, pydantic, py-spy, prometheus-client, opencensus, numpy, msgpack, jsonschema, grpcio, gpustat, filelock, colorama, aioredis, aiohttp-cors, ray, colorful
  Attempting uninstall: setuptools
    Found existing installation: setuptools 39.2.0
    Uninstalling setuptools-39.2.0:
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    Running setup.py install for gpustat ... done
Successfully installed aiohttp-3.7.4.post0 aiohttp-cors-0.7.0 aioredis-1.3.1 async-timeout-3.0.1 attrs-21.2.0 blessings-1.7 cachetools-4.2.2 colorama-0.4.4 colorful-0.5.4 contextvars-2.4 filelock-3.0.12 google-api-core-1.31.0 google-auth-1.33.1 googleapis-common-protos-1.53.0 gpustat-0.6.0 grpcio-1.39.0 hiredis-2.0.0 idna-ssl-1.1.0 immutables-0.15 jsonschema-3.2.0 msgpack-1.0.2 multidict-5.1.0 numpy-1.19.5 nvidia-ml-py3-7.352.0 opencensus-0.7.13 opencensus-context-0.1.2 packaging-21.0 prometheus-client-0.11.0 protobuf-3.17.3 psutil-5.8.0 py-spy-0.3.7 pyasn1-0.4.8 pyasn1-modules-0.2.8 pydantic-1.8.2 pyparsing-2.4.7 pyrsistent-0.18.0 pyyaml-5.4.1 ray-1.4.1 redis-3.5.3 rsa-4.7.2 setuptools-57.4.0 yarl-1.6.3

感谢各位的阅读，以上就是“python分布式执行框架Ray的介绍及安装”的内容了，经过本文的学习后，相信大家对python分布式执行框架Ray的介绍及安装这一问题有了更深刻的体会，具体使用情况还需要大家实践验证。这里是创新互联，小编将为大家推送更多相关知识点的文章，欢迎关注！