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https://issues.apache.org/jira/browse/YARN-8135?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16431369#comment-16431369
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Wangda Tan commented on YARN-8135:
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[~oliverhuh...@gmail.com],
Thanks for the responses,
{quote}what does w/o modification mean ?
{quote}
Without modification of vanilla TF program in order to run on the framework.
{quote}As far as Kubeflow is deployed in the same cluster as Hadoop, Kubeflow
should be able to access HDFS, through libhdfs or webhdfs interface?
{quote}
Since tensorflow supports to read HDFS, ideally all platform can support this
:). What I meant here is, TF read HDFS needs lots of configurations, and needs
some specific optimization / considerations to make HDFS access from Docker
container easier. Our on-going prototype covers some of this problem.
{quote}ToS kind of supports GPU scheduling (not isolation) base on memory: if
you ask for 1 GPU and a machine has 4 GPU, it asks for total memory * the
portion of GPU you asked.
{quote}
This is not easy for user and cannot guarantee proper isolation, so I didn't
put a (√) for ToS.
> Hadoop {Submarine} Project: Simple and scalable deployment of deep learning
> training / serving jobs on Hadoop
> -------------------------------------------------------------------------------------------------------------
>
> Key: YARN-8135
> URL: https://issues.apache.org/jira/browse/YARN-8135
> Project: Hadoop YARN
> Issue Type: New Feature
> Reporter: Wangda Tan
> Assignee: Wangda Tan
> Priority: Major
> Attachments: image-2018-04-09-14-35-16-778.png,
> image-2018-04-09-14-44-41-101.png
>
>
> Description:
> *Goals:*
> - Allow infra engineer / data scientist to run *unmodified* Tensorflow jobs
> on YARN.
> - Allow 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 if user specified.
> - Support customized DNS name for roles (like tensorboard.$user.$domain:6006)
> *Why this name?*
> - Because Submarine is the only vehicle can let human to explore deep
> places. B-)
> Compare to other projects:
> !image-2018-04-09-14-44-41-101.png!
> *Notes:*
> *GPU Isolation of XLearning project is achieved by patched YARN, which is
> different from community’s GPU isolation solution.
> **XLearning needs few modification to read ClusterSpec from env.
> *References:*
> - TensorflowOnSpark (Yahoo): [https://github.com/yahoo/TensorFlowOnSpark]
> - TensorFlowOnYARN (Intel):
> [https://github.com/Intel-bigdata/TensorFlowOnYARN]
> - Spark Deep Learning (Databricks):
> [https://github.com/databricks/spark-deep-learning]
> - XLearning (Qihoo360): [https://github.com/Qihoo360/XLearning]
> - Kubeflow (Google): [https://github.com/kubeflow/kubeflow]
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