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@GuillaumeLeclerc
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Track progress for the next release

kangig94 and others added 22 commits January 23, 2022 20:34
[BUG] all augmentation pipeline were on the same GPU
- A lot of tests are failing still but it's a first step
- Resolves #123
- Include unit test
Add custom traversal order functionality
@GuillaumeLeclerc GuillaumeLeclerc changed the title V1.0.0 [WIP] V1.0.0 Feb 17, 2022
@GuillaumeLeclerc GuillaumeLeclerc added this to the v1.0.0 milestone Feb 17, 2022
@ashertrockman ashertrockman mentioned this pull request Jul 12, 2022
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@alexmyczko
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Can't wait for more releases...

@alexmyczko
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how far is a next release tag? possible within two months?

@ashertrockman
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@andrewilyas @GuillaumeLeclerc Are you still interested in merging #154 into V1.0.0? For what it's worth: while I didn't finish the checklist in the PR, some colleagues and I have been using it successfully for a long time. Let me know if there's anything I could do to make this happen.

@andrewilyas
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Hi @ashertrockman ! My thought was to merge v1.0 -> master ASAP and update on PyPI, and then merge in this and grayscale support (#226) into a v1.1, does that sound good?

BTW, are there tests for the new augmentations?

@andrewilyas andrewilyas marked this pull request as ready for review March 1, 2023 20:39
@ashertrockman
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Yeah, that sounds good to me. There are tests here: https://github.com/libffcv/ffcv/blob/0fa3d7c8a041fec7348025afafe6e4f6fff60f33/tests/test_rand_aug.py. My goal was to very closely replicate the RandAugment implementation in TorchVision, so most of the tests use it as a baseline.

@andrewilyas
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Amazing! This should be super easy to merge into v1.1 then. I'm planning on uploading v1.0 to PyPI tonight!

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10 participants