[ https://issues.apache.org/jira/browse/ARROW-3062?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Rok Mihevc updated ARROW-3062: ------------------------------ External issue URL: https://github.com/apache/arrow/issues/19420 > [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: 40m > 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. -- This message was sent by Atlassian Jira (v8.20.10#820010)