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Easier to understand event_dim computation #81396
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Hi @johannespitz! Thank you for your pull request and welcome to our community. Action RequiredIn order to merge any pull request (code, docs, etc.), we require contributors to sign our Contributor License Agreement, and we don't seem to have one on file for you. ProcessIn order for us to review and merge your suggested changes, please sign at https://code.facebook.com/cla. If you are contributing on behalf of someone else (eg your employer), the individual CLA may not be sufficient and your employer may need to sign the corporate CLA. Once the CLA is signed, our tooling will perform checks and validations. Afterwards, the pull request will be tagged with If you have received this in error or have any questions, please contact us at [email protected]. Thanks! |
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Looks like this PR hasn't been updated in a while so we're going to go ahead and mark this as |
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@neerajprad Please take a look if this is something we want to do. |
This is only for readability, but I find both versions equally readable. :) I will defer to @fritzo on this. |
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/81396
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LGTM!
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Merge startedYour change will be merged once all checks pass (ETA 0-4 Hours). Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
Fixes pytorch#81254 Only easier to understand, not a real fix. Pull Request resolved: pytorch#81396 Approved by: https://github.com/fritzo, https://github.com/kit1980
Fixes #81254
Only easier to understand, not a real fix.