You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@arrow.apache.org by "ASF GitHub Bot (JIRA)" <ji...@apache.org> on 2018/08/15 21:37:00 UTC

[jira] [Updated] (ARROW-3062) [Python] Extend fast libtensorflow_framework.so compatibility workaround to Python 2.7

     [ https://issues.apache.org/jira/browse/ARROW-3062?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

ASF GitHub Bot updated ARROW-3062:
----------------------------------
    Labels: pull-request-available  (was: )

> [Python] Extend fast libtensorflow_framework.so compatibility workaround to Python 2.7
> --------------------------------------------------------------------------------------
>
>                 Key: ARROW-3062
>                 URL: https://issues.apache.org/jira/browse/ARROW-3062
>             Project: Apache Arrow
>          Issue Type: Improvement
>          Components: Python
>    Affects Versions: 0.10.0
>            Reporter: Philipp Moritz
>            Assignee: Philipp Moritz
>            Priority: Major
>              Labels: pull-request-available
>
> The workaround ARROW-2657 should be optimized a little bit and use the loading of libtensorflow_framework.so (instead of doing a full "import tensorflow") also for Python 2.7.
> We are running into this, since doing "import tensorflow" spawns a number of threads, so without this optimization, using many python processes with pyarrow will hit OS limits for threads.



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)