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https://issues.apache.org/jira/browse/ARROW-3950?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Philipp Moritz resolved ARROW-3950.
-----------------------------------
Resolution: Fixed
Fix Version/s: 0.12.0
Issue resolved by pull request 3117
[https://github.com/apache/arrow/pull/3117]
> [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
> Reporter: Philipp Moritz
> Assignee: Philipp Moritz
> Priority: Major
> Labels: pull-request-available
> Fix For: 0.12.0
>
> Time Spent: 20m
> 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).
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