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Rok Mihevc commented on ARROW-4690: ----------------------------------- This issue has been migrated to [issue #21218|https://github.com/apache/arrow/issues/21218] on GitHub. Please see the [migration documentation|https://github.com/apache/arrow/issues/14542] for further details. > [Python] Building TensorFlow compatible wheels for Arrow > -------------------------------------------------------- > > Key: ARROW-4690 > URL: https://issues.apache.org/jira/browse/ARROW-4690 > Project: Apache Arrow > Issue Type: Improvement > Components: Python > Reporter: Philipp Moritz > Assignee: Philipp Moritz > Priority: Major > Labels: pull-request-available > Fix For: 0.13.0 > > Time Spent: 1h > Remaining Estimate: 0h > > Since the inclusion of LLVM, arrow wheels stopped working with TensorFlow > again (on some configurations at least). > While we are continuing to discuss a more permanent solution in > [https://groups.google.com/a/tensorflow.org/d/topic/developers/TMqRaT-H2bI/discussion|https://groups.google.com/a/tensorflow.org/d/topic/developers/TMqRaT-H2bI/discussion,], > I made some progress in creating tensorflow compatible wheels for an > unmodified pyarrow. > They won't adhere to the manylinux1 standard, but they should be as > compatible as the TensorFlow wheels because they use the same build > environment (ubuntu 14.04). > I'll create a PR with the necessary changes. I don't propose to ship these > wheels but it might be a good idea to include the docker image and > instructions how to build them in the tree for organizations that want to use > tensorflow with pyarrow on top of pip. The official recommendation should > probably be to use conda if the average user wants to do this for now. -- This message was sent by Atlassian Jira (v8.20.10#820010)