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@EmmaQiaoCh EmmaQiaoCh commented Oct 28, 2025

Summary by CodeRabbit

  • Tests
    • Updated test database configurations to support additional GPU hardware types across multiple test scenarios.

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/bot run --stage-list "B300-PyTorch-1, DGX_B300-4_GPUs-PyTorch-Post-Merge-1"

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📝 Walkthrough

Walkthrough

Three test configuration YAML files are updated to add a new GPU wildcard pattern "b300" alongside the existing "gb110" pattern in their GPU wildcard lists.

Changes

Cohort / File(s) Summary
GPU wildcard pattern expansion
tests/integration/test_lists/test-db/l0_dgx_b300.yml, tests/integration/test_lists/test-db/l0_gb300.yml, tests/integration/test_lists/test-db/l0_gb300_multi_gpus.yml
Added "b300" GPU wildcard pattern to existing "gb110" pattern in GPU wildcard lists across three configuration files

Estimated code review effort

🎯 2 (Simple) | ⏱️ ~5 minutes

  • Verify the "b300" pattern is correctly added to all three files
  • Confirm no accidental modifications to other configuration fields or structure
  • Validate consistency of the pattern syntax across files

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❌ Failed checks (2 warnings)
Check name Status Explanation Resolution
Docstring Coverage ⚠️ Warning Docstring coverage is 0.00% which is insufficient. The required threshold is 80.00%. You can run @coderabbitai generate docstrings to improve docstring coverage.
Description Check ⚠️ Warning The pull request description fails to meet the required template specifications. While the PR title appears to follow the correct format (as shown in the objectives: [TRTLLM-8971][infra] Update gpu key for B300/GB300), the submitted description consists entirely of the template structure with no actual content filled in. Both the "Description" and "Test Coverage" sections, which are essential for explaining what changes are being made and why, remain empty with only placeholder comments. Additionally, the PR Checklist has not been completed or verified, with all items left unchecked. The author has essentially submitted an unfilled template rather than providing meaningful context about the infrastructure changes being made to GPU key configurations across three test configuration files. The author should fill in the Description section with a clear explanation of why the B300/GB300 GPU key updates are necessary, provide details about the configuration changes across the three test YAML files, and complete the Test Coverage section by listing which existing or new tests validate these infrastructure changes. Additionally, the PR Checklist should be reviewed and the checkbox should only be marked after verifying all applicable items, such as confirming the changes follow coding guidelines and that appropriate test coverage exists.
✅ Passed checks (1 passed)
Check name Status Explanation
Title Check ✅ Passed The PR title "[TRTLLM-8971][infra] Update gpu key for B300/GB300" is directly related to the changeset and accurately summarizes the primary change. The title follows the repository's format (includes JIRA ticket and type), is concise and clear, and specifically describes the addition of B300/GB300 GPU keys to the test configuration files shown in the raw summary. A teammate scanning the repository history would understand this is an infrastructure change to update GPU wildcards for these two GPU models.
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Actionable comments posted: 0

🧹 Nitpick comments (1)
tests/integration/test_lists/test-db/l0_gb300_multi_gpus.yml (1)

1-60: Consider documenting the scope of GPU pattern changes.

The PR title and description lack detail about the B300/GB300 GPU pattern update. For future reference and to maintain clear change logs:

  1. Document why *b300* patterns are being added alongside *gb110* patterns
  2. Clarify the GPU model distinction (B300 vs. GB300) and how the patterns differentiate them
  3. Confirm whether all relevant test configuration files have been updated
📜 Review details

Configuration used: Path: .coderabbit.yaml

Review profile: CHILL

Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between b37a8a9 and 93518c9.

📒 Files selected for processing (3)
  • tests/integration/test_lists/test-db/l0_dgx_b300.yml (1 hunks)
  • tests/integration/test_lists/test-db/l0_gb300.yml (1 hunks)
  • tests/integration/test_lists/test-db/l0_gb300_multi_gpus.yml (1 hunks)
🧰 Additional context used
🧠 Learnings (2)
📓 Common learnings
Learnt from: pengbowang-nv
PR: NVIDIA/TensorRT-LLM#7192
File: tests/integration/test_lists/test-db/l0_dgx_b200.yml:56-72
Timestamp: 2025-08-26T09:49:04.956Z
Learning: In TensorRT-LLM test configuration files, the test scheduling system handles wildcard matching with special rules that prevent duplicate test execution even when the same tests appear in multiple yaml files with overlapping GPU wildcards (e.g., "*b200*" and "*gb200*").
📚 Learning: 2025-08-26T09:49:04.956Z
Learnt from: pengbowang-nv
PR: NVIDIA/TensorRT-LLM#7192
File: tests/integration/test_lists/test-db/l0_dgx_b200.yml:56-72
Timestamp: 2025-08-26T09:49:04.956Z
Learning: In TensorRT-LLM test configuration files, the test scheduling system handles wildcard matching with special rules that prevent duplicate test execution even when the same tests appear in multiple yaml files with overlapping GPU wildcards (e.g., "*b200*" and "*gb200*").

Applied to files:

  • tests/integration/test_lists/test-db/l0_gb300_multi_gpus.yml
⏰ Context from checks skipped due to timeout of 90000ms. You can increase the timeout in your CodeRabbit configuration to a maximum of 15 minutes (900000ms). (1)
  • GitHub Check: Pre-commit Check
🔇 Additional comments (3)
tests/integration/test_lists/test-db/l0_gb300.yml (1)

8-11: Verify the "b300" wildcard pattern approach.

The change adds *b300* to the GPU wildcard list alongside *gb110*. Before merging, confirm:

  1. Is *b300* the correct pattern to match B300 GPUs (vs. GB300)?
  2. Are there other test configuration files in the test-db directory that should also be updated?

Per the learnings from #7192, the test scheduling system handles overlapping GPU wildcards, so pattern overlap risk is mitigated.

tests/integration/test_lists/test-db/l0_dgx_b300.yml (1)

8-11: Pattern addition is consistent with l0_gb300.yml.

The change mirrors the pattern update in l0_gb300.yml, adding *b300* to GPU wildcards for the 4-GPU DGX configuration. Formatting and YAML syntax are correct.

tests/integration/test_lists/test-db/l0_gb300_multi_gpus.yml (1)

8-11: Pattern addition is consistent across all three updated files.

The change maintains consistency with updates in l0_gb300.yml and l0_dgx_b300.yml. All three files now include the *b300* pattern alongside *gb110*, covering single-GPU aarch64, 4-GPU x86_64, and 4-GPU aarch64 scenarios respectively.

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PR_Github #22763 [ run ] triggered by Bot. Commit: 93518c9

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PR_Github #22763 [ run ] completed with state SUCCESS. Commit: 93518c9
/LLM/main/L0_MergeRequest_PR pipeline #17165 (Partly Tested) completed with status: 'FAILURE'

@EmmaQiaoCh EmmaQiaoCh force-pushed the emma/fix_b300_test_stage branch from 64a8737 to 8919f68 Compare October 29, 2025 04:44
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/bot run --stage-list "B300-PyTorch-1, DGX_B300-4_GPUs-PyTorch-Post-Merge-1"

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PR_Github #22838 [ run ] triggered by Bot. Commit: 8919f68

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PR_Github #22838 [ run ] completed with state SUCCESS. Commit: 8919f68
/LLM/main/L0_MergeRequest_PR pipeline #17225 (Partly Tested) completed with status: 'FAILURE'

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/bot run --stage-list "B300-PyTorch-1, DGX_B300-4_GPUs-PyTorch-Post-Merge-1"

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PR_Github #22877 [ run ] triggered by Bot. Commit: 7e005c9

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PR_Github #22877 [ run ] completed with state SUCCESS. Commit: 7e005c9
/LLM/main/L0_MergeRequest_PR pipeline #17254 (Partly Tested) completed with status: 'FAILURE'

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/bot skip --comment "Tested locally and skip the CI"

@EmmaQiaoCh EmmaQiaoCh enabled auto-merge (squash) October 30, 2025 03:13
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PR_Github #22968 [ skip ] triggered by Bot. Commit: 7e005c9

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PR_Github #22968 [ skip ] completed with state SUCCESS. Commit: 7e005c9
Skipping testing for commit 7e005c9

@EmmaQiaoCh EmmaQiaoCh merged commit db99a93 into NVIDIA:main Oct 30, 2025
5 checks passed
EmmaQiaoCh added a commit to EmmaQiaoCh/TensorRT-LLM that referenced this pull request Oct 30, 2025
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3 participants