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[None][ci] Increase the number of retries in docker image generation by chzblych · Pull Request #7557 · NVIDIA/TensorRT-LLM · GitHub
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@chzblych chzblych commented Sep 5, 2025

Summary by CodeRabbit

  • Chores
    • Improved CI/CD reliability by increasing retry attempts and extending randomized backoff for network-dependent build steps, reducing transient failures during image fetches and related operations.
    • Applied across dependent and main build stages and final commands to stabilize pipelines.
    • Users benefit from more predictable release cadence and fewer build-related delays.

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Signed-off-by: Yanchao Lu <yanchaol@nvidia.com>
@chzblych chzblych requested review from a team as code owners September 5, 2025 06:38
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📝 Walkthrough

Walkthrough

The 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

Cohort / File(s) Summary of Changes
Jenkins pipeline retry/backoff adjustments
jenkins/BuildDockerImage.groovy
- Increased llmExecStepWithRetry numRetries from 3 to 6 across dependent build, main build, final command, and NSPECT steps
- Expanded randomSleep used around docker pull-related steps from 300–599s to 600–1199s
- No changes to shortCommondRunTimeMax or exported interfaces

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)
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Estimated code review effort

🎯 2 (Simple) | ⏱️ ~10 minutes

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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 explicit

The 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 bounds

Mirror 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 retries

The 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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📒 Files selected for processing (1)
  • 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 timeout

With 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.

@chzblych chzblych merged commit 4195010 into NVIDIA:main Sep 5, 2025
6 of 8 checks passed
@chzblych chzblych deleted the yanchaol-docker branch September 5, 2025 06:47
chzblych added a commit that referenced this pull request Sep 6, 2025
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dominicshanshan pushed a commit to dominicshanshan/TensorRT-LLM that referenced this pull request Sep 9, 2025
dominicshanshan pushed a commit to dominicshanshan/TensorRT-LLM that referenced this pull request Sep 9, 2025
…VIDIA#7557)

Signed-off-by: Yanchao Lu <yanchaol@nvidia.com>
Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
dominicshanshan pushed a commit to dominicshanshan/TensorRT-LLM that referenced this pull request Sep 9, 2025
…VIDIA#7557)

Signed-off-by: Yanchao Lu <yanchaol@nvidia.com>
Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
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…VIDIA#7557)

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Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
dominicshanshan pushed a commit to dominicshanshan/TensorRT-LLM that referenced this pull request Sep 9, 2025
…VIDIA#7557)

Signed-off-by: Yanchao Lu <yanchaol@nvidia.com>
Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
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…VIDIA#7557)

Signed-off-by: Yanchao Lu <yanchaol@nvidia.com>
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…VIDIA#7557)

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…VIDIA#7557)

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