Cap PyTorch build parallelism for all GCC docker images#20123
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The gcc14 docker build was intermittently timing out on linux.4xlarge runners because it built PyTorch from source with unlimited parallelism, unlike gcc11 which capped MAX_JOBS=6. Generalize the guard to all GCC variants so gcc14, gcc15, and future additions get the same protection. Images that set SKIP_PYTORCH (gcc9-nopytorch, cuda-windows) are unaffected because the existing SKIP_PYTORCH guard excludes them. Fixes pytorch#19881 Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/20123
Note: Links to docs will display an error until the docs builds have been completed. ❌ 2 New Failures, 6 Cancelled JobsAs of commit 85a114c with merge base ac3003e ( NEW FAILURES - The following jobs have failed:
CANCELLED JOBS - The following jobs were cancelled. Please retry:
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Summary
The gcc14 docker build was intermittently timing out on linux.4xlarge runners because it built PyTorch from source with unlimited parallelism, unlike gcc11 which capped MAX_JOBS=6. Generalize the guard to all GCC variants so gcc14, gcc15, and future additions get the same protection.
Images that set SKIP_PYTORCH (gcc9-nopytorch, cuda-windows) are unaffected because the existing SKIP_PYTORCH guard excludes them.
Fixes #19881
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