[None][chore] move some cases from post-merge to pre-merge to detect errors in early stage #7699
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Signed-off-by: Hui Gao <huig@nvidia.com>
📝 WalkthroughWalkthroughMoved specific tests between pre_merge and post_merge sections in two YAML test lists: for A100, a TRT quantization unittest was shifted to pre_merge; for H100, a PyTorch DeepSeekV3Lite bfloat16 test entry was repositioned into the pre_merge block. No test definitions or logic altered. Changes
Estimated code review effort🎯 2 (Simple) | ⏱️ ~10 minutes ✨ Finishing touches🧪 Generate unit tests
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📒 Files selected for processing (2)
tests/integration/test_lists/test-db/l0_a100.yml(1 hunks)tests/integration/test_lists/test-db/l0_h100.yml(1 hunks)
🧰 Additional context used
🧠 Learnings (5)
📓 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*").
Learnt from: fredricz-20070104
PR: NVIDIA/TensorRT-LLM#7645
File: tests/integration/test_lists/qa/llm_function_core.txt:648-648
Timestamp: 2025-09-09T09:40:45.658Z
Learning: In TensorRT-LLM test lists, it's common and intentional for the same test to appear in multiple test list files when they serve different purposes (e.g., llm_function_core.txt for comprehensive core functionality testing and llm_function_core_sanity.txt for quick sanity checks). This duplication allows tests to be run in different testing contexts.
📚 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_a100.ymltests/integration/test_lists/test-db/l0_h100.yml
📚 Learning: 2025-09-09T09:40:45.658Z
Learnt from: fredricz-20070104
PR: NVIDIA/TensorRT-LLM#7645
File: tests/integration/test_lists/qa/llm_function_core.txt:648-648
Timestamp: 2025-09-09T09:40:45.658Z
Learning: In TensorRT-LLM test lists, it's common and intentional for the same test to appear in multiple test list files when they serve different purposes (e.g., llm_function_core.txt for comprehensive core functionality testing and llm_function_core_sanity.txt for quick sanity checks). This duplication allows tests to be run in different testing contexts.
Applied to files:
tests/integration/test_lists/test-db/l0_a100.ymltests/integration/test_lists/test-db/l0_h100.yml
📚 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_a100.yml
📚 Learning: 2025-08-06T13:58:07.506Z
Learnt from: galagam
PR: NVIDIA/TensorRT-LLM#6487
File: tests/unittest/_torch/auto_deploy/unit/singlegpu/test_ad_trtllm_bench.py:1-12
Timestamp: 2025-08-06T13:58:07.506Z
Learning: In TensorRT-LLM, test files (files under tests/ directories) do not require NVIDIA copyright headers, unlike production source code files. Test files typically start directly with imports, docstrings, or code.
Applied to files:
tests/integration/test_lists/test-db/l0_a100.yml
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- GitHub Check: Pre-commit Check
🔇 Additional comments (1)
tests/integration/test_lists/test-db/l0_h100.yml (1)
56-56: Approve: move DeepSeekV3Lite bfloat16 combo to pre_merge — verifiedSingle occurrence found in tests/integration/test_lists/test-db/l0_h100.yml (line 56); no post_merge duplicate.
If runtime >5–7m on H100, mark TIMEOUT(90) or split params to keep pre_merge wall time in budget.
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/bot skip --comment "trivial change" |
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PR_Github #18530 [ skip ] triggered by Bot |
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PR_Github #18530 [ skip ] completed with state |
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Thanks for enhancing the pre-merge CI. Thanks |
June |
test_unittests.py::test_unittests_v2[unittest/trt/model_api/test_model_quantization.py] test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_bfloat16[mtp_nextn=2-attention_dp=True-cuda_graph=True-overlap_scheduler=True-torch_compile=False-enable_chunked_prefill=False]
Sure. I will start test with target stages. |
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/bot run --stage-list="A100X-PyTorch-1,H100_PCIe-PyTorch-3" |
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PR_Github #18542 [ run ] triggered by Bot |
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PR_Github #18542 [ run ] completed with state |
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/bot run --stage-list="H100_PCIe-PyTorch-1,H100_PCIe-PyTorch-2,H100_PCIe-PyTorch-3" |
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PR_Github #18567 [ run ] triggered by Bot |
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PR_Github #18567 [ run ] completed with state |
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Moved cases are tested in stages A100X-PyTorch-1 and H100_PCIe-PyTorch-2. |
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/bot skip --comment "Moved cases are tested in stages A100X-PyTorch-1 and H100_PCIe-PyTorch-2 in previous pipeline" |
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PR_Github #18589 [ skip ] triggered by Bot |
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PR_Github #18589 [ skip ] completed with state |
…errors in early stage (NVIDIA#7699) Signed-off-by: Hui Gao <huig@nvidia.com>
…errors in early stage (NVIDIA#7699) Signed-off-by: Hui Gao <huig@nvidia.com>
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Summary by CodeRabbit
Description
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PR Checklist
Please review the following before submitting your PR:
PR description clearly explains what and why. If using CodeRabbit's summary, please make sure it makes sense.
PR Follows TRT-LLM CODING GUIDELINES to the best of your knowledge.
Test cases are provided for new code paths (see test instructions)
Any new dependencies have been scanned for license and vulnerabilities
CODEOWNERS updated if ownership changes
Documentation updated as needed
The reviewers assigned automatically/manually are appropriate for the PR.
Please check this after reviewing the above items as appropriate for this PR.
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