[ https://issues.apache.org/jira/browse/ARROW-3950?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Rok Mihevc updated ARROW-3950: ------------------------------ External issue URL: https://github.com/apache/arrow/issues/20556 > [Plasma] Don't force loading the TensorFlow op on import > -------------------------------------------------------- > > Key: ARROW-3950 > URL: https://issues.apache.org/jira/browse/ARROW-3950 > Project: Apache Arrow > Issue Type: Improvement > Components: Python > Reporter: Philipp Moritz > Assignee: Philipp Moritz > Priority: Major > Labels: pull-request-available > Fix For: 0.12.0 > > Time Spent: 0.5h > Remaining Estimate: 0h > > In certain situation, users want more control over when the TensorFlow op is > loaded, so we should make it optional (even if it exists). This happens in > Ray for example, where we need to make sure that if multiple python workers > try to compile and import the TensorFlow op in parallel, there is no race > condition (e.g. one worker could try to import a half-built version of the > op). -- This message was sent by Atlassian Jira (v8.20.10#820010)