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Remove extraneous device conversions in raft #8500

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vbarrielle
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By default, these calls were allocating tensors on the CPU, to then convert to the device used in the rest of the model. It's faster to allocate them directly on the correct device.

I have measured these changes on my machine to reduce the runtime of the forward pass by 25%.

By default, these calls were allocating tensors on the CPU, to then convert to the device used in the rest of the model. It's faster to allocate them directly on the correct device.
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pytorch-bot bot commented Jun 21, 2024

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/vision/8500

Note: Links to docs will display an error until the docs builds have been completed.

❌ 3 New Failures, 12 Unrelated Failures

As of commit 0714fdb with merge base 3e60dbd (image):

NEW FAILURES - The following jobs have failed:

BROKEN TRUNK - The following jobs failed but were present on the merge base:

👉 Rebase onto the `viable/strict` branch to avoid these failures

This comment was automatically generated by Dr. CI and updates every 15 minutes.

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@NicolasHug
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Thanks for the PR @vbarrielle . PR looks good. Please make sure to sign the CLA for us to be able to merge your contribution!
Thank you

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3 participants