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[CI] Enroll the remaining Distributed, EP and fault-tolerance jobs in automatic sharding (25 jobs) - #64593
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khluu merged 1 commit intoOct 30, 2026
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… automatic sharding Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Thang Nguyen <thangnguyenvn647@gmail.com>
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/ci run |
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✅ Triggered Buildkite CI #98458 for commit |
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khluu
approved these changes
Oct 30, 2026
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Overview
Enrolls the remaining Distributed, EP and fault-tolerance jobs in
automatic_shard: 25 jobs (13 steps and 12 AMD mirrors). Part of a series that enrolls every remaining test step, split by test area for review. No commands change.Claims
distributed-compile-comm-4-gpusdistributed-torchrun-shutdown-tests-2-gpusdistributed-comm-opssharded-rdt-weight-transferdistributed-tests-8xh100preload-2-gpusdistributed-compile-rpc-tests-2-gpusgemm-rs-ar-2xb200distributed-tests-2xb200qwen4-exp-sp-tests-4-gpuseplb-executioneplb-algorithmamd-fault-tolerance-e2e-2xh100Validation
/ci run(98458) plus a scoped build (98469) for the optional steps and AMD mirrors on this head: every enrolled job passed, and every shard finished under 22 minutes.Details
torchrun, examples) are enrolled too; the generator keeps them as one job. Standalone AMD steps plan like any other since Fix automatic sharding for standalone AMD jobs and selected tests ci-infra#871.timeout_in_minutesstays per job. Fallback-aware timeouts belong in a central timeout setting.🤖 Generated with Claude Code
Pull Request Checklist
I used vLLM's
/pr-checklistskill. (Mandatory for agents, optional for humans).AI assistance was used during the creation of this PR.
Design Fit: Minimizes impact on core components, reuses existing functionality, and justifies added complexity.
Testing and Validation: Validates the change and ensures any added tests are meaningful and reliable, with CI coverage or documented CI resource constraints and validation performed outside CI.
Code Quality and Style: Keeps code and comments clear and concise, and updates relevant documentation and examples.
Pull Request Contents: Includes a brief summary and relevant links, supports claims with evidence, explains root causes and implementation trade-offs, and follows the contributing guide.
BEFORE SUBMITTING, PLEASE READ https://docs.vllm.ai/en/latest/contributing (anything written below this line will be removed by GitHub Actions)