[https://nvbugs/5481087][fix] Skip w4a8 GPTOSS test on pre-Blackwell. #7608
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Signed-off-by: Bo Li <[email protected]>
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📝 WalkthroughWalkthroughConverts per-parameter skip logic to top-level decorators for Pre-Blackwell environments and device-count constraints in tests/integration/defs/accuracy/test_llm_api_pytorch.py. Splits MoE backend filtering from parameterization, replacing inline pytest.param marks with plain parameterization plus test-level skip decorators. Test bodies remain unchanged. Changes
Sequence Diagram(s)sequenceDiagram
actor Dev as PyTest runner
participant T as Test function
participant D as Decorators
participant P as Parametrize(moe_backend)
Dev->>T: Collect test
Note over D: Evaluate skips
D-->>Dev: skip_pre_blackwell? If true, mark test skipped
D-->>Dev: skip_less_device? If true, mark test skipped
alt Not skipped
Dev->>P: Expand moe_backend params (no inline marks)
loop For each moe_backend value
Dev->>T: Execute test case instance
T-->>Dev: Result (unchanged test logic)
end
else Skipped
Dev-->>Dev: Test not executed
end
Estimated code review effort🎯 2 (Simple) | ⏱️ ~10 minutes Possibly related PRs
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Actionable comments posted: 0
🧹 Nitpick comments (1)
tests/integration/defs/accuracy/test_llm_api_pytorch.py (1)
2920-2921: Use parametrize_with_ids for consistency and less boilerplateYou already import parametrize_with_ids; use it here to match the rest of the file.
Apply:
-@pytest.mark.parametrize("moe_backend", ["CUTLASS", "TRTLLM", "TRITON"], - ids=["cutlass", "trtllm", "triton"]) +@parametrize_with_ids("moe_backend", ["CUTLASS", "TRTLLM", "TRITON"])
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📒 Files selected for processing (1)
tests/integration/defs/accuracy/test_llm_api_pytorch.py(3 hunks)
🧰 Additional context used
📓 Path-based instructions (3)
**/*.{h,hpp,hh,hxx,cpp,cxx,cc,cu,cuh,py}
📄 CodeRabbit inference engine (CODING_GUIDELINES.md)
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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.
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Files:
tests/integration/defs/accuracy/test_llm_api_pytorch.py
**/*.{cpp,cxx,cc,h,hpp,hh,hxx,cu,cuh,py}
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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/defs/accuracy/test_llm_api_pytorch.py
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🔇 Additional comments (3)
tests/integration/defs/accuracy/test_llm_api_pytorch.py (3)
2919-2921: Pre-Blackwell gating for GPT-OSS w4 (1 GPU): LGTMCorrectly skips w4a8 on pre-Blackwell and keeps w4a16 covered elsewhere.
2951-2954: Pre-Blackwell gating for GPT-OSS w4 (4 GPUs): LGTMDecorator placement and backend parametrization look good.
3023-3026: Pre-Blackwell gating for GPT-OSS w4 (2 GPUs): LGTMAligned with intent to run w4a8 only on Blackwell.
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PR_Github #18004 [ run ] triggered by Bot |
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PR_Github #18004 [ run ] completed with state |
| ["CUTLASS", | ||
| pytest.param("TRTLLM", marks=skip_pre_blackwell), "TRITON"], | ||
| ids=["cutlass", "trtllm", "triton"]) | ||
| @skip_pre_blackwell # Pre-Blackwell only supports w4a16, which is covered in test_w4a16. See also get_mxfp4_quant_algo. |
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Fixed in #7323 |
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