[None][infra] Waive failed tests on main branch #7201
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Signed-off-by: qqiao <[email protected]>
📝 WalkthroughWalkthroughAdds new SKIP entries to the integration waiver list and applies pytest skip decorators to four unit tests. No functional code changes. Changes
Estimated code review effort🎯 1 (Trivial) | ⏱️ ~3 minutes Possibly related PRs
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/bot run --stage-list "A10-TensorRT-1, A100X-TensorRT-Post-Merge-5, DGX_H200-8_GPUs-PyTorch-Post-Merge-1" --disable-fail-fast |
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PR_Github #16390 [ run ] triggered by Bot |
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Actionable comments posted: 1
🧹 Nitpick comments (2)
tests/unittest/_torch/multi_gpu_modeling/test_llama4.py (1)
11-11: Optional: prefer xfail to retain signal while waiving on mainIf the goal is to keep CI green but still exercise the code path, consider xfail over a hard skip. This preserves telemetry and catches silent fixes (xpass won’t fail with strict=False).
-@pytest.mark.skip(reason="https://nvbugs/5418673") +@pytest.mark.xfail(reason="https://nvbugs/5418673", strict=False)Alternatively, gate the skip on a CI env flag to local-run the test by default:
+import os -@pytest.mark.skip(reason="https://nvbugs/5418673") +@pytest.mark.skipif(os.getenv("WAIVE_ON_MAIN") == "1", reason="https://nvbugs/5418673")tests/unittest/llmapi/test_executor.py (1)
280-280: Optional: switch from skip to xfail (or env-gated skip) to preserve coverage and early-detect silent fixesUnconditional skips remove test coverage. Using xfail keeps execution without failing CI; using skipif with a CI flag limits waiving to main. Pick whichever matches your process.
Use xfail:
-@pytest.mark.skip(reason="https://nvbugs/5477359") +@pytest.mark.xfail(reason="https://nvbugs/5477359", strict=False) def test_GenerationResultBase(): ... -@pytest.mark.skip(reason="https://nvbugs/5477359") +@pytest.mark.xfail(reason="https://nvbugs/5477359", strict=False) def test_GenerationResult(): ... -@pytest.mark.skip(reason="https://nvbugs/5477359") +@pytest.mark.xfail(reason="https://nvbugs/5477359", strict=False) def test_DetokenizedGenerationResultBase(): ... -@pytest.mark.skip(reason="https://nvbugs/5477369") +@pytest.mark.xfail(reason="https://nvbugs/5477369", strict=False) def test_ResponsePostprocessWorker():Or gate skips via env:
+import os -@pytest.mark.skip(reason="https://nvbugs/5477359") +@pytest.mark.skipif(os.getenv("WAIVE_ON_MAIN") == "1", reason="https://nvbugs/5477359") def test_GenerationResultBase(): ... -@pytest.mark.skip(reason="https://nvbugs/5477359") +@pytest.mark.skipif(os.getenv("WAIVE_ON_MAIN") == "1", reason="https://nvbugs/5477359") def test_GenerationResult(): ... -@pytest.mark.skip(reason="https://nvbugs/5477359") +@pytest.mark.skipif(os.getenv("WAIVE_ON_MAIN") == "1", reason="https://nvbugs/5477359") def test_DetokenizedGenerationResultBase(): ... -@pytest.mark.skip(reason="https://nvbugs/5477369") +@pytest.mark.skipif(os.getenv("WAIVE_ON_MAIN") == "1", reason="https://nvbugs/5477369") def test_ResponsePostprocessWorker(): ...Also applies to: 295-295, 308-308, 440-440
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📒 Files selected for processing (4)
tests/integration/test_lists/waives.txt(1 hunks)tests/unittest/_torch/multi_gpu_modeling/test_llama4.py(1 hunks)tests/unittest/llmapi/apps/_test_openai_chat.py(1 hunks)tests/unittest/llmapi/test_executor.py(4 hunks)
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Files:
tests/unittest/_torch/multi_gpu_modeling/test_llama4.pytests/unittest/llmapi/apps/_test_openai_chat.pytests/unittest/llmapi/test_executor.py
**/*.{cpp,cxx,cc,cu,h,hpp,hxx,hh,cuh,py}
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Files:
tests/unittest/_torch/multi_gpu_modeling/test_llama4.pytests/unittest/llmapi/apps/_test_openai_chat.pytests/unittest/llmapi/test_executor.py
🧠 Learnings (1)
📚 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/unittest/_torch/multi_gpu_modeling/test_llama4.py
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🔇 Additional comments (1)
tests/integration/test_lists/waives.txt (1)
324-329: Verify test node IDs and normalize bug URLsThe new waives entries look correctly formatted, but please double-check:
That each referenced test exists under
tests/integration/defs(the parser prefixes these paths). For example:
•disaggregated/test_disaggregated_single_gpu.py::test_disaggregated_llama_context_capacity→tests/integration/defs/disaggregated/test_disaggregated_single_gpu.py::test_disaggregated_llama_context_capacity
•triton_server/test_triton.py::{test_python_bls_unit_tests, test_mistral_ib, test_eagle}→tests/integration/defs/triton_server/test_triton.py
•examples/test_mixtral.py::test_llm_mixtral_moe_plugin_lora_4gpus→tests/integration/defs/examples/test_mixtral.py
•accuracy/test_llm_api_pytorch.py::TestDeepSeekR1::test_nvfp4_multi_gpus→tests/integration/defs/accuracy/test_llm_api_pytorch.pyThat bug links are consistent with the rest of the file. Most entries use
nvbugspro, but these usenvbugs. If any tooling assumes a canonical domain, consider switching them tohttps://nvbugspro/...for uniformity.With those verifications and any necessary adjustments, we can keep these waives valid.
Signed-off-by: qqiao <[email protected]>
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/bot run --stage-list "A10-TensorRT-1, A100X-TensorRT-Post-Merge-5, DGX_H200-8_GPUs-PyTorch-Post-Merge-1" --disable-fail-fast |
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PR_Github #16404 [ run ] triggered by Bot |
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PR_Github #16390 [ run ] completed with state |
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PR_Github #16404 [ run ] completed with state |
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/bot skip --comment "Partial testing is sufficient for waiving tests" |
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PR_Github #16447 [ skip ] triggered by Bot |
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PR_Github #16447 [ skip ] completed with state |
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