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[None][fix] Fix a typo in the Slurm CI codes #7485
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Signed-off-by: Yanchao Lu <[email protected]>
/bot run --stage-list "Build-Docker-Images, DGX_B200-8_GPUs-PyTorch-1, DGX_B200-4_GPUs-PyTorch-1, GB200-PyTorch-1, GB200-4_GPUs-PyTorch-1, GB200-8_GPUs-2_Nodes-PyTorch-1" --disable-fail-fast |
📝 WalkthroughWalkthroughReplaces direct shell execution in jenkins/BuildDockerImage.groovy with a retry-wrapped executor. Updates jenkins/L0_Test.groovy GPU argument selection to prefer NV_GPU, then CUDA_VISIBLE_DEVICES, else gpuCount. Renames dockerGpuOption to dockerGPUOption. Adjusts multi-node launch script to include shebang, pipefail, and exit status propagation. Changes
Sequence Diagram(s)sequenceDiagram
autonumber
participant Jenkins as Jenkins Pipeline
participant Utils as trtllm_utils
participant Docker as Docker CLI
Note over Jenkins,Utils: BuildDockerImage.groovy
Jenkins->>Utils: llmExecStepWithRetry(script: docker build/push, retries=3, max=7200s)
alt success within retries
Utils->>Docker: sh(script)
Docker-->>Utils: exit 0
Utils-->>Jenkins: success
else failure and retries remaining
Utils->>Docker: sh(script) retry
Docker-->>Utils: non-zero exit
Utils-->>Jenkins: final status after retries
end
sequenceDiagram
autonumber
participant Jenkins as Jenkins L0 Tests
participant SLURM as Slurm Cluster
participant Node as Worker Node
participant Docker as Docker
Note over Jenkins: L0_Test.groovy (Multi-node)
Jenkins->>Jenkins: Select GPU args: NV_GPU > CUDA_VISIBLE_DEVICES > gpuCount
Jenkins->>Node: scp launch_script.sh
Jenkins->>SLURM: srun bash launch_script.sh
SLURM->>Node: Execute script (set -o pipefail)
Node->>Docker: docker run ... --cap-add SYSLOG ${dockerArgs}
Node-->>SLURM: exit ${PIPESTATUS[0]}
SLURM-->>Jenkins: return exit status
Estimated code review effort🎯 3 (Moderate) | ⏱️ ~25 minutes Possibly related PRs
Suggested reviewers
✨ Finishing Touches🧪 Generate unit tests
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Actionable comments posted: 1
🧹 Nitpick comments (2)
jenkins/L0_Test.groovy (2)
371-379
: Simplify quoting for --gpus device to avoid nested escapesQuotes aren’t needed; device lists (e.g., 0,1) are space-free. This reduces brittle escaping.
Apply:
- if [ -n "\$NV_GPU" ]; then - echo "--gpus '\\"device=\$NV_GPU\\"'" - elif [ -n "\$CUDA_VISIBLE_DEVICES" ]; then - echo "--gpus '\\"device=\$CUDA_VISIBLE_DEVICES\\"'" + if [ -n "\$NV_GPU" ]; then + echo "--gpus device=\$NV_GPU" + elif [ -n "\$CUDA_VISIBLE_DEVICES" ]; then + echo "--gpus device=\$CUDA_VISIBLE_DEVICES"
390-390
: Normalize flag style for cap-addElsewhere this line uses “=”. Make this consistent to avoid parsing quirks across environments.
Apply:
- "--cap-add SYSLOG" + "--cap-add=SYSLOG"
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📒 Files selected for processing (2)
jenkins/BuildDockerImage.groovy
(1 hunks)jenkins/L0_Test.groovy
(5 hunks)
🧰 Additional context used
📓 Path-based instructions (1)
**/*
📄 CodeRabbit inference engine (CODING_GUIDELINES.md)
Filenames compiled into a target must be case-insensitively unique
Files:
jenkins/BuildDockerImage.groovy
jenkins/L0_Test.groovy
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- GitHub Check: Pre-commit Check
🔇 Additional comments (2)
jenkins/L0_Test.groovy (2)
521-541
: Nice: propagate exit status and enable pipefailAdding set -o pipefail and exiting with PIPESTATUS preserves srun’s exit code through tee. Good hardening.
351-351
: No staledockerGpuOption
references remain. Rename todockerGPUOption
is consistent across the file.
PR_Github #17381 [ run ] triggered by Bot |
Signed-off-by: Yanchao Lu <[email protected]>
/bot run --stage-list "Build-Docker-Images, DGX_B200-8_GPUs-PyTorch-1, DGX_B200-4_GPUs-PyTorch-1, GB200-PyTorch-1, GB200-4_GPUs-PyTorch-1, GB200-8_GPUs-2_Nodes-PyTorch-1" --disable-fail-fast |
Signed-off-by: Yanchao Lu <[email protected]>
PR_Github #17381 [ run ] completed with state |
/bot run --stage-list "Build-Docker-Images, DGX_B200-8_GPUs-PyTorch-1, DGX_B200-4_GPUs-PyTorch-1, GB200-PyTorch-1, GB200-4_GPUs-PyTorch-1, GB200-8_GPUs-2_Nodes-PyTorch-1" --disable-fail-fast |
PR_Github #17387 [ run ] triggered by Bot |
PR_Github #17387 [ run ] completed with state |
/bot run --stage-list "Build-Docker-Images, DGX_B200-8_GPUs-PyTorch-1, DGX_B200-4_GPUs-PyTorch-1, GB200-PyTorch-1, GB200-4_GPUs-PyTorch-1, GB200-8_GPUs-2_Nodes-PyTorch-1" --disable-fail-fast |
PR_Github #17431 [ run ] triggered by Bot |
Signed-off-by: Yanchao Lu <[email protected]>
/bot run --stage-list "GB200-PyTorch-1, GB200-4_GPUs-PyTorch-1, GB200-8_GPUs-2_Nodes-PyTorch-1" --disable-fail-fast |
PR_Github #17472 [ run ] triggered by Bot |
PR_Github #17431 [ run ] completed with state |
PR_Github #17472 [ run ] completed with state |
/bot run --stage-list "GB200-PyTorch-1, GB200-4_GPUs-PyTorch-1, GB200-8_GPUs-2_Nodes-PyTorch-1" --disable-fail-fast |
PR_Github #17500 [ run ] triggered by Bot |
PR_Github #17500 [ run ] completed with state |
/bot run --stage-list "GB200-PyTorch-1, GB200-4_GPUs-PyTorch-1, GB200-8_GPUs-2_Nodes-PyTorch-1" --disable-fail-fast |
PR_Github #17527 [ run ] triggered by Bot |
PR_Github #17527 [ run ] completed with state |
/bot skip --comment "Partial testing is sufficient" |
PR_Github #17630 [ skip ] triggered by Bot |
PR_Github #17630 [ skip ] completed with state |
Signed-off-by: Yanchao Lu <[email protected]>
Signed-off-by: Yanchao Lu <[email protected]>
Signed-off-by: Yanchao Lu <[email protected]>
Summary by CodeRabbit
New Features
Bug Fixes
Chores
Description
Test Coverage
PR Checklist
Please review the following before submitting your PR:
PR description clearly explains what and why. If using CodeRabbit's summary, please make sure it makes sense.
PR Follows TRT-LLM CODING GUIDELINES to the best of your knowledge.
Test cases are provided for new code paths (see test instructions)
Any new dependencies have been scanned for license and vulnerabilities
CODEOWNERS updated if ownership changes
Documentation updated as needed
The reviewers assigned automatically/manually are appropriate for the PR.
Please check this after reviewing the above items as appropriate for this PR.
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