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[https://nvbugs/5492124][fix] revert to use triton==3.3.1 #7431
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[https://nvbugs/5492124][fix] revert to use triton==3.3.1 #7431
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Signed-off-by: Wanli Jiang <[email protected]>
📝 WalkthroughWalkthroughAdded a platform-scoped dependency to requirements.txt, specifying triton==3.3.1 to install only on x86_64 machines via an environment marker. No other files or APIs were changed. Changes
Estimated code review effort🎯 1 (Trivial) | ⏱️ ~2 minutes Possibly related PRs
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Actionable comments posted: 0
🧹 Nitpick comments (2)
requirements.txt (2)
64-64: Also gate by OS to avoid Windows installs.Triton wheels are Linux-only; add an OS marker to prevent resolution on win32 where
platform_machine == "x86_64"would still match.-triton==3.3.1; platform_machine == "x86_64" +triton==3.3.1; platform_system == "Linux" and platform_machine == "x86_64"
64-64: Move the Triton pin to constraints.txtReplace in requirements.txt at line 64:
- triton==3.3.1; platform_machine == "x86_64" + # (moved to constraints.txt to avoid hard requirement)Add to constraints.txt (outside this diff):
triton==3.3.1; platform_machine == "x86_64"To verify resolver health (including NVIDIA placeholder packages), run:
pip install --upgrade "pip>=24.2" pip install --dry-run \ --extra-index-url https://pypi.nvidia.com/ \ -r requirements.txt -c constraints.txt
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📒 Files selected for processing (1)
requirements.txt(1 hunks)
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🔇 Additional comments (1)
requirements.txt (1)
64-64: LGTM: pinning Triton to 3.3.1 (x86_64-only) matches the PR intent.This should prevent the 3.4.0 mismatch with the Torch range declared above.
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PR_Github #17183 [ run ] triggered by Bot |
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PR_Github #17197 [ run ] triggered by Bot |
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PR_Github #17183 [ run ] completed with state |
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PR_Github #17197 [ run ] completed with state |
Root cause: the triton is 3.4.0, which is not matched with pytorch version. And we revert to use trition==3.3.1.
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