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@dominicshanshan dominicshanshan commented Sep 6, 2025

Summary by CodeRabbit

  • Tests

    • Temporarily skipped an FP8 block scales test for a specific PyTorch LLM due to a known issue.
    • Updated the pre-merge test matrix to include the skipped test entry for tracking and future reinstatement.
  • Chores

    • Annotated the affected test with a reference to the known issue to aid triage and visibility.

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coderabbitai bot commented Sep 6, 2025

📝 Walkthrough

Walkthrough

Adds a skip marker to a specific PyTorch accuracy test and registers that test in the l0_b200 test matrix with a note referencing nvbugs 5505402.

Changes

Cohort / File(s) Summary of changes
PyTorch accuracy test skip marker
tests/integration/defs/accuracy/test_llm_api_pytorch.py
Inserted a PyTest skip decorator on TestQwen3_8B.test_fp8_block_scales, leaving the rest of the test unchanged.
Test matrix update
tests/integration/test_lists/test-db/l0_b200.yml
Added a PyTorch pre_merge test entry for accuracy/test_llm_api_pytorch.py::TestQwen3_8B::test_fp8_block_scales[latency] with comment referencing nvbugs 5505402.

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🎯 2 (Simple) | ⏱️ ~10 minutes

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Actionable comments posted: 0

🧹 Nitpick comments (1)
tests/integration/defs/accuracy/test_llm_api_pytorch.py (1)

2320-2320: Optional: make the waiver overridable via env.

If you’d like to occasionally run this locally, switch to a skip-if keyed off an env var (os is already imported):

-    @pytest.mark.skip(reason="https://nvbugs/5505402")
+    @pytest.mark.skipif(os.getenv("RUN_WAIVED_TESTS") != "1",
+                        reason="https://nvbugs/5505402")
📜 Review details

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📥 Commits

Reviewing files that changed from the base of the PR and between 525bb80 and 0bbd442.

📒 Files selected for processing (2)
  • tests/integration/defs/accuracy/test_llm_api_pytorch.py (1 hunks)
  • tests/integration/test_lists/test-db/l0_b200.yml (1 hunks)
🧰 Additional context used
📓 Path-based instructions (3)
**/*.{h,hpp,hh,hxx,cpp,cxx,cc,cu,cuh,py}

📄 CodeRabbit inference engine (CODING_GUIDELINES.md)

Use only spaces, no tabs; indent with 4 spaces.

Files:

  • tests/integration/defs/accuracy/test_llm_api_pytorch.py
**/*.py

📄 CodeRabbit inference engine (CODING_GUIDELINES.md)

**/*.py: Python code must target Python 3.8+.
Indent Python code with 4 spaces; do not use tabs.
Maintain module namespace when importing; prefer 'from package.subpackage import foo' then 'foo.SomeClass()' instead of importing the class directly.
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Files:

  • tests/integration/defs/accuracy/test_llm_api_pytorch.py
**/*.{cpp,cxx,cc,h,hpp,hh,hxx,cu,cuh,py}

📄 CodeRabbit inference engine (CODING_GUIDELINES.md)

Prepend the NVIDIA Apache-2.0 copyright header with current year to the top of all source files (e.g., .cpp, .h, .cu, .py).

Files:

  • tests/integration/defs/accuracy/test_llm_api_pytorch.py
🧠 Learnings (3)
📓 Common learnings
Learnt from: EmmaQiaoCh
PR: NVIDIA/TensorRT-LLM#7370
File: tests/unittest/trt/model_api/test_model_quantization.py:24-27
Timestamp: 2025-08-29T14:07:45.863Z
Learning: In TensorRT-LLM's CI infrastructure, pytest skip markers (pytest.mark.skip) are properly honored even when test files have __main__ blocks that call test functions directly. The testing system correctly skips tests without requiring modifications to the __main__ block execution pattern.
📚 Learning: 2025-08-29T14:07:45.863Z
Learnt from: EmmaQiaoCh
PR: NVIDIA/TensorRT-LLM#7370
File: tests/unittest/trt/model_api/test_model_quantization.py:24-27
Timestamp: 2025-08-29T14:07:45.863Z
Learning: In TensorRT-LLM's CI infrastructure, pytest skip markers (pytest.mark.skip) are properly honored even when test files have __main__ blocks that call test functions directly. The testing system correctly skips tests without requiring modifications to the __main__ block execution pattern.

Applied to files:

  • tests/integration/defs/accuracy/test_llm_api_pytorch.py
📚 Learning: 2025-07-28T17:06:08.621Z
Learnt from: moraxu
PR: NVIDIA/TensorRT-LLM#6303
File: tests/integration/test_lists/qa/examples_test_list.txt:494-494
Timestamp: 2025-07-28T17:06:08.621Z
Learning: In TensorRT-LLM testing, it's common to have both CLI flow tests (test_cli_flow.py) and PyTorch API tests (test_llm_api_pytorch.py) for the same model. These serve different purposes: CLI flow tests validate the traditional command-line workflow, while PyTorch API tests validate the newer LLM API backend. Both are legitimate and should coexist.

Applied to files:

  • tests/integration/test_lists/test-db/l0_b200.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 (2)
tests/integration/defs/accuracy/test_llm_api_pytorch.py (1)

2319-2321: Skip marker placement is correct and achieves the waiver.

Unconditional @pytest.mark.skip above the parametrization will skip all variants; reason string references NVBug 5505402. Looks good.

tests/integration/test_lists/test-db/l0_b200.yml (1)

40-40: YAML entry matches the parametrized id and will be collected as skipped.

Path and [latency] id align with the test; the inline comment ties it to NVBug 5505402. LGTM.

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PR_Github #17855 [ run ] triggered by Bot

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PR_Github #17855 [ run ] completed with state SUCCESS
/LLM/main/L0_MergeRequest_PR pipeline #13367 completed with status: 'SUCCESS'

@tongyuantongyu tongyuantongyu merged commit 9a97f0a into NVIDIA:main Sep 6, 2025
8 of 9 checks passed
Wong4j pushed a commit to Wong4j/TensorRT-LLM that referenced this pull request Sep 20, 2025
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