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Add platform markers for linux x86_64 only extra_install_requires #93066

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TimeRainStarSky
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@TimeRainStarSky TimeRainStarSky commented Jan 26, 2023

Like #89924 #91083

#85097 added new extra dependencies on nvidia-*. They are linux x86_64 (GPU) only packages, but were not marked as such, causing issues installing pytorch 1.13 via Poetry (and possibly other tools that follow PyPI's metadata API) on Linux aarch64 systems. This "fixes" the issue by adding the and platform_machine == 'x86_64' marker on these dependencies.

cc @malfet

@TimeRainStarSky TimeRainStarSky requested a review from a team as a code owner January 26, 2023 13:50
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pytorch-bot bot commented Jan 26, 2023

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/93066

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

❌ 7 Failures

As of commit 9d7afa1:

NEW FAILURES - The following jobs have failed:

BROKEN TRUNK - The following jobs failed but were present on the merge base 5e9fa0a:

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albanD commented Jan 27, 2023

The fix sounds good. I'll let Infra team review the full change.

@albanD albanD added the triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module label Jan 27, 2023
@malfet malfet added the ciflow/binaries_wheel Trigger binary build and upload jobs for wheel on the PR label Jan 27, 2023
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Looks good to me, if it passes binary builds

@malfet malfet added the module: arm Related to ARM architectures builds of PyTorch. Includes Apple M1 label Jan 27, 2023
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malfet commented Jan 31, 2023

@pytorchbot merge -f "binary builds are green"

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ciflow/binaries_wheel Trigger binary build and upload jobs for wheel on the PR Merged module: arm Related to ARM architectures builds of PyTorch. Includes Apple M1 open source topic: not user facing topic category triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module
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5 participants