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Posted to issues@arrow.apache.org by "Wes McKinney (JIRA)" <ji...@apache.org> on 2018/08/16 14:06:00 UTC
[jira] [Resolved] (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 ]
Wes McKinney resolved ARROW-3062.
---------------------------------
Resolution: Fixed
Fix Version/s: 0.11.0
Issue resolved by pull request 2435
[https://github.com/apache/arrow/pull/2435]
> [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
> Fix For: 0.11.0
>
> Time Spent: 0.5h
> Remaining Estimate: 0h
>
> 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.
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