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Add new weights for ResNeXt50-32x4d #4836

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Merged
merged 2 commits into from
Nov 2, 2021
Merged

Add new weights for ResNeXt50-32x4d #4836

merged 2 commits into from
Nov 2, 2021

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datumbox
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@datumbox datumbox commented Nov 2, 2021 •
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Fixes partially #3995

torchrun --nproc_per_node=1 train.py --test-only --weights ImageNet1K_RefV2 --model resnext50_32x4d -b 1
Acc@1 81.116 Acc@5 95.478

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facebook-github-bot commented Nov 2, 2021 •
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💊 CI failures summary and remediations

As of commit ea039b8 (more details on the Dr. CI page):

  • 1/1 failures introduced in this PR

1 failure not recognized by patterns:

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CircleCI unittest_linux_cpu_py3.7 Run tests 🔁 rerun
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prabhat00155
prabhat00155 approved these changes Nov 2, 2021
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Stamping.

@datumbox datumbox merged commit c5fb79f into pytorch:main Nov 2, 2021
@datumbox datumbox deleted the prototype/resnext50_weights branch November 2, 2021 17:33
@datumbox datumbox linked an issue Nov 2, 2021 that may be closed by this pull request
Improve the accuracy of Classification models by using SOTA recipes and primitives #3995
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facebook-github-bot pushed a commit that referenced this pull request Nov 8, 2021
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[fbsync] Add new weights for ResNeXt50_32x4d. (#4836)
5357fc9 
Reviewed By: kazhang

Differential Revision: D32216661

fbshipit-source-id: b3c0dd2c17826d4eae134b1c95f8b2a45c118bd3
cyyever pushed a commit to cyyever/vision that referenced this pull request Nov 16, 2021
@datumbox @cyyever
Add new weights for ResNeXt50_32x4d. (pytorch#4836)
a7f4d75
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Improve the accuracy of Classification models by using SOTA recipes and primitives
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