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@huydhn huydhn commented Nov 10, 2022

As all PyTorch repos are now running on share runners as part of project Nova. We need to avoid code duplication when copying install_nvidia_utils_linux.sh and older NVIDIA driver by switching reusable setup-nvidia from test-infra repo.

For the context, I'm currently seeing some NVIDIA installation failures from PyTorch where the older driver 510.60.02 is used, so I'm trying to roll out this new GitHub action to avoid this:

@huydhn huydhn self-assigned this Nov 10, 2022
@facebook-github-bot facebook-github-bot added the CLA Signed This label is managed by the Facebook bot. Authors need to sign the CLA before a PR can be reviewed. label Nov 10, 2022
@huydhn huydhn requested a review from yifuwang November 10, 2022 00:49
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codecov bot commented Nov 10, 2022

Codecov Report

Merging #130 (514bea4) into main (47770cc) will decrease coverage by 4.04%.
The diff coverage is n/a.

@@            Coverage Diff             @@
##             main     #130      +/-   ##
==========================================
- Coverage   91.39%   87.35%   -4.05%     
==========================================
  Files          30       30              
  Lines        2523     2523              
==========================================
- Hits         2306     2204     -102     
- Misses        217      319     +102     
Impacted Files Coverage Δ
torchsnapshot/storage_plugins/gcs.py 0.00% <0.00%> (-78.90%) ⬇️
torchsnapshot/storage_plugins/s3.py 26.82% <0.00%> (-63.42%) ⬇️
torchsnapshot/storage_plugin.py 48.57% <0.00%> (-20.01%) ⬇️
torchsnapshot/memoryview_stream.py 63.33% <0.00%> (-6.67%) ⬇️
torchsnapshot/io_preparers/tensor.py 90.00% <0.00%> (+1.87%) ⬆️
torchsnapshot/batcher.py 91.17% <0.00%> (+10.58%) ⬆️

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@ananthsub has imported this pull request. If you are a Meta employee, you can view this diff on Phabricator.

@huydhn
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huydhn commented Nov 10, 2022

@ananthsub Thank you for the review! Would you be able to merge change? The codecov check looks unrelated (may be because the PR comes from my forked repo)

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3 participants