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[None][ci] Increase the number of retries in docker image generation #7557
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Signed-off-by: Yanchao Lu <yanchaol@nvidia.com>
📝 WalkthroughWalkthroughThe Jenkins pipeline file jenkins/BuildDockerImage.groovy increases llmExecStepWithRetry numRetries to 6 at four call sites and widens randomSleep for docker pull-related steps to a 600–1199 second window. No other parameters or public signatures changed. Changes
Sequence Diagram(s)sequenceDiagram
autonumber
participant J as Jenkins Pipeline
participant S as Step Wrapper (llmExecStepWithRetry)
participant D as Docker Registry
participant M as Make/Build
Note over J,S: Updated control flow: numRetries=6 and randomSleep=600–1199s
J->>S: Dependent stage: docker pull
rect rgba(230,240,255,0.6)
loop Up to 6 retries
S->>D: docker pull
alt failure
S-->>S: randomSleep(600–1199s)
else success
S-->>J: proceed
end
end
end
J->>S: Dependent stage: make
S->>M: make (retries up to 6)
J->>S: Main stage: docker pull
S->>D: docker pull (with retry + randomSleep)
J->>S: Main stage: make
S->>M: make (retries up to 6)
J->>S: NSPECT-related step
S-->>J: run (retries up to 6)
J->>S: Final command step
S-->>J: run (retries up to 6)
Estimated code review effort🎯 2 (Simple) | ⏱️ ~10 minutes Possibly related PRs
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Actionable comments posted: 0
🧹 Nitpick comments (3)
jenkins/BuildDockerImage.groovy (3)
298-308: Retries + longer jitter: good; switch to ThreadLocalRandom and make bounds explicitThe change improves resilience. Minor refactor to avoid double/float truncation and to make the bounds explicit.
Apply this diff:
- def randomSleep = (Math.random() * 600 + 600).toInteger() + def randomSleepMin = 600 + def randomSleepMax = 1200 // exclusive + def randomSleep = java.util.concurrent.ThreadLocalRandom.current().nextInt(randomSleepMin, randomSleepMax) - trtllm_utils.llmExecStepWithRetry(this, script: "docker pull ${TRITON_IMAGE}:${TRITON_BASE_TAG}", sleepInSecs: randomSleep, numRetries: 6, shortCommondRunTimeMax: 7200) + trtllm_utils.llmExecStepWithRetry(this, script: "docker pull ${TRITON_IMAGE}:${TRITON_BASE_TAG}", sleepInSecs: randomSleep, numRetries: 6, shortCommondRunTimeMax: 7200) @@ - """, sleepInSecs: randomSleep, numRetries: 6, shortCommondRunTimeMax: 7200) + """, sleepInSecs: randomSleep, numRetries: 6, shortCommondRunTimeMax: 7200)Also consider exponential backoff with jitter in llmExecStepWithRetry to avoid worst-case 20 min waits per attempt across many parallel jobs.
327-337: Duplicate jitter logic: DRY and consistent boundsMirror the ThreadLocalRandom refactor here to keep behavior consistent and readable.
Apply this diff:
- def randomSleep = (Math.random() * 600 + 600).toInteger() + def randomSleepMin = 600 + def randomSleepMax = 1200 // exclusive + def randomSleep = java.util.concurrent.ThreadLocalRandom.current().nextInt(randomSleepMin, randomSleepMax) - trtllm_utils.llmExecStepWithRetry(this, script: "docker pull ${TRITON_IMAGE}:${TRITON_BASE_TAG}", sleepInSecs: randomSleep, numRetries: 6, shortCommondRunTimeMax: 7200) + trtllm_utils.llmExecStepWithRetry(this, script: "docker pull ${TRITON_IMAGE}:${TRITON_BASE_TAG}", sleepInSecs: randomSleep, numRetries: 6, shortCommondRunTimeMax: 7200) @@ - """, sleepInSecs: randomSleep, numRetries: 6, shortCommondRunTimeMax: 7200) + """, sleepInSecs: randomSleep, numRetries: 6, shortCommondRunTimeMax: 7200)
689-689: NSPECT step: add jittered sleep to avoid hot-loop retriesThe other steps use jitter; mirror it here to reduce thundering herd on failures.
Apply this diff:
- trtllm_utils.llmExecStepWithRetry(this, script: cmd, numRetries: 6, shortCommondRunTimeMax: 7200) + def nspectSleep = java.util.concurrent.ThreadLocalRandom.current().nextInt(60, 180) + trtllm_utils.llmExecStepWithRetry(this, script: cmd, sleepInSecs: nspectSleep, numRetries: 6, shortCommondRunTimeMax: 7200)
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jenkins/BuildDockerImage.groovy(5 hunks)
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🔇 Additional comments (1)
jenkins/BuildDockerImage.groovy (1)
298-299: Guard against excessive total wait vs pipeline timeoutWith 6 retries and 600–1199s sleeps, worst-case per step adds ~100 minutes of delay (excluding work time). Across multiple stages in parallel, this can push the 24h pipeline timeout.
Please confirm recent runs won’t hit the global 24h timeout; if close, consider:
- lowering sleep window or retries on non-critical pulls,
- using exponential backoff with max cap,
- exposing retries/sleep bounds as Jenkins parameters for quick tuning.
…7557) Signed-off-by: Yanchao Lu <yanchaol@nvidia.com>
…7557) Signed-off-by: Yanchao Lu <yanchaol@nvidia.com>
…VIDIA#7557) Signed-off-by: Yanchao Lu <yanchaol@nvidia.com>
…VIDIA#7557) Signed-off-by: Yanchao Lu <yanchaol@nvidia.com> Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
…VIDIA#7557) Signed-off-by: Yanchao Lu <yanchaol@nvidia.com> Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
…VIDIA#7557) Signed-off-by: Yanchao Lu <yanchaol@nvidia.com> Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
…VIDIA#7557) Signed-off-by: Yanchao Lu <yanchaol@nvidia.com> Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
…VIDIA#7557) Signed-off-by: Yanchao Lu <yanchaol@nvidia.com> Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
…VIDIA#7557) Signed-off-by: Yanchao Lu <yanchaol@nvidia.com> Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
…VIDIA#7557) Signed-off-by: Yanchao Lu <yanchaol@nvidia.com> Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
…VIDIA#7557) Signed-off-by: Yanchao Lu <yanchaol@nvidia.com> Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
…VIDIA#7557) Signed-off-by: Yanchao Lu <yanchaol@nvidia.com> Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
…VIDIA#7557) Signed-off-by: Yanchao Lu <yanchaol@nvidia.com> Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
…VIDIA#7557) Signed-off-by: Yanchao Lu <yanchaol@nvidia.com> Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
…VIDIA#7557) Signed-off-by: Yanchao Lu <yanchaol@nvidia.com> Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
…VIDIA#7557) Signed-off-by: Yanchao Lu <yanchaol@nvidia.com> Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
…VIDIA#7557) Signed-off-by: Yanchao Lu <yanchaol@nvidia.com> Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
…VIDIA#7557) Signed-off-by: Yanchao Lu <yanchaol@nvidia.com> Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
…VIDIA#7557) Signed-off-by: Yanchao Lu <yanchaol@nvidia.com> Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
…VIDIA#7557) Signed-off-by: Yanchao Lu <yanchaol@nvidia.com> Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
…VIDIA#7557) Signed-off-by: Yanchao Lu <yanchaol@nvidia.com> Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
…VIDIA#7557) Signed-off-by: Yanchao Lu <yanchaol@nvidia.com> Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
…VIDIA#7557) Signed-off-by: Yanchao Lu <yanchaol@nvidia.com> Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
…VIDIA#7557) Signed-off-by: Yanchao Lu <yanchaol@nvidia.com> Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
…VIDIA#7557) Signed-off-by: Yanchao Lu <yanchaol@nvidia.com> Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
…VIDIA#7557) Signed-off-by: Yanchao Lu <yanchaol@nvidia.com> Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
…VIDIA#7557) Signed-off-by: Yanchao Lu <yanchaol@nvidia.com> Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
…VIDIA#7557) Signed-off-by: Yanchao Lu <yanchaol@nvidia.com> Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
…VIDIA#7557) Signed-off-by: Yanchao Lu <yanchaol@nvidia.com> Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
…VIDIA#7557) Signed-off-by: Yanchao Lu <yanchaol@nvidia.com> Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
…VIDIA#7557) Signed-off-by: Yanchao Lu <yanchaol@nvidia.com> Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
…VIDIA#7557) Signed-off-by: Yanchao Lu <yanchaol@nvidia.com> Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
…VIDIA#7557) Signed-off-by: Yanchao Lu <yanchaol@nvidia.com> Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
…VIDIA#7557) Signed-off-by: Yanchao Lu <yanchaol@nvidia.com> Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
…VIDIA#7557) Signed-off-by: Yanchao Lu <yanchaol@nvidia.com> Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
…VIDIA#7557) Signed-off-by: Yanchao Lu <yanchaol@nvidia.com> Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
…VIDIA#7557) Signed-off-by: Yanchao Lu <yanchaol@nvidia.com> Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
…VIDIA#7557) Signed-off-by: Yanchao Lu <yanchaol@nvidia.com> Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
…VIDIA#7557) Signed-off-by: Yanchao Lu <yanchaol@nvidia.com> Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
…VIDIA#7557) Signed-off-by: Yanchao Lu <yanchaol@nvidia.com> Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
…VIDIA#7557) Signed-off-by: Yanchao Lu <yanchaol@nvidia.com>
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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.
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