Baunsgaard commented on PR #1847: URL: https://github.com/apache/systemds/pull/1847#issuecomment-1628573442
> Hi Kyle, The easy way to see transfer speed from java into python is calling compute. you can generate a matrix inside the SDS context with something like rand() and then call compute. The compute then transfer over the matrix, and if you enable statistics you can see the internal time use of the rand call, while extrapolating the time of transfer as the unreported time in the statistics. Similarly you can read in a Frame in the SDS context and call compute to transfer it to pandas. I think this would be to much for this PR, so it can be a subsequent PR. > Also, I've noticed that the PRs show as closed instead of merged, is that because of local merging, could you try merging from the github UI for better Github Achievements tracking? We are merging ourselves via rebase ans squash so we circumvent the GitHub UI. This is done for historic reasons, to reduce errors, and to avoid merge commits in the git log. If you want it to be shown as merged then the procedure is also simple. You rebase your commits on top of main, then squash all your commits into a single one. This then is registered as a merge in GitHub when we manually merge it. Br Sebastian -- 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: dev-unsubscr...@systemds.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org
