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Optimize the calculation in the Deformable Convolution #9232
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/vision/9232
Note: Links to docs will display an error until the docs builds have been completed. ❗ 1 Active SEVsThere are 1 currently active SEVs. If your PR is affected, please view them below: This comment was automatically generated by Dr. CI and updates every 15 minutes. |
Hi @younessdkhissi! 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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Hey @younessdkhissi, thanks for the PR. My understanding of your changes is that your are modifying the |
Hello @AntoineSimoulin, your understanding is right. My idea is to reduce the useless calculations made inside this function. I have noticed a significant increase of time computing when the batch size I use, during inference, for my deformable convolution models is a prime number (it is particular use case). That's why, I proposed this PR. |
Optimizing the function that calculate the bound used to calculate the number of paralle images in the defomable convolution.