hadoop/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-applications/hadoop-yarn-submarine
Weiwei Yang a4bd64e724 YARN-9116. Capacity Scheduler: implements queue level maximum-allocation inheritance. Contributed by Aihua Xu. 2019-01-24 17:53:43 +08:00
..
src YARN-9116. Capacity Scheduler: implements queue level maximum-allocation inheritance. Contributed by Aihua Xu. 2019-01-24 17:53:43 +08:00
README.md YARN-8800. Updated documentation of Submarine with latest examples. Contributed by Wangda Tan. 2018-09-29 00:01:04 +05:30
pom.xml Changed version in trunk to 3.3.0-SNAPSHOT. 2018-10-02 22:41:41 +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.