damccorm opened a new issue, #21446: URL: https://github.com/apache/beam/issues/21446
We test different minor versions for pandas because our special usage of pandas in the DataFrame API leads to breakages even between minor versions. In the case of pyarrow, every release is a major version, which is meant to communicate that the API can change ([https://arrow.apache.org/docs/format/Versioning.html](https://arrow.apache.org/docs/format/Versioning.html)). We need to investigate if pytorch commonly make changes that will break us between minor versions. How will we keep this up to date as new version of pytorch come out? Imported from Jira [BEAM-14353](https://issues.apache.org/jira/browse/BEAM-14353). Original Jira may contain additional context. Reported by: yeandy. Subtask of issue #21435 -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
