Apache
/
hadoop
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity
hadoop/hadoop-submarine/hadoop-submarine-yarnservic...
History
Zhankun Tang e79a9c12c1 SUBMARINE-40. Add TonY runtime to Submarine. Contributed by Keqiu Hu. 2019-04-23 15:45:42 +08:00
..
src SUBMARINE-40. Add TonY runtime to Submarine. Contributed by Keqiu Hu. 2019-04-23 15:45:42 +08:00
README.md SUBMARINE-1. Move code base of submarine from yarn-applications to top directory. Contributed by Wangda Tan. 2019-02-17 20:03:56 +05:30
pom.xml SUBMARINE-1. Move code base of submarine from yarn-applications to top directory. Contributed by Wangda Tan. 2019-02-17 20:03:56 +05:30

README.md

Overview

              _                              _
             | |                            (_)
  ___  _   _ | |__   _ __ ___    __ _  _ __  _  _ __    ___
 / __|| | | || '_ \ | '_ ` _ \  / _` || '__|| || '_ \  / _ \
 \__ \| |_| || |_) || | | | | || (_| || |   | || | | ||  __/
 |___/ \__,_||_.__/ |_| |_| |_| \__,_||_|   |_||_| |_| \___|

                             ?
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~|^"~~~~~~~~~~~~~~~~~~~~~~~~~o~~~~~~~~~~~
        o                   |                  o      __o
         o                  |                 o     |X__>
       ___o                 |                __o
     (X___>--             __|__            |X__>     o
                         |     \                   __o
                         |      \                |X__>
  _______________________|_______\________________
 <                                                \____________   _
  \                                                            \ (_)
   \    O       O       O                                       >=)
    \__________________________________________________________/ (_)

Submarine is a project which allows infra engineer / data scientist to run unmodified Tensorflow programs on YARN.

Goals of Submarine:

  • It allows jobs easy access data/models in HDFS and other storages.
  • Can launch services to serve Tensorflow/MXNet models.
  • Support run distributed Tensorflow jobs with simple configs.
  • Support run user-specified Docker images.
  • Support specify GPU and other resources.
  • Support launch tensorboard for training jobs if user specified.
  • Support customized DNS name for roles (like tensorboard.$user.$domain:6006)

Please jump to QuickStart guide to quickly understand how to use this framework.

Please jump to Examples to try other examples like running Distributed Tensorflow Training for CIFAR 10.

If you're a developer, please find Developer guide for more details.