[None][test] Update nim function test list #7862
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📝 WalkthroughWalkthroughThe test inclusion list in tests/integration/test_lists/qa/llm_function_nim.txt is overhauled: older GPT/StarCoder-related tests are removed; numerous new entries are added across multiple modules and accuracy suites; groups and comments are reorganized with PyTorch-centric focus, multimodal E2E additions, quantization/TP/multi-GPU variants, and timeout annotations. Changes
Estimated code review effort🎯 3 (Moderate) | ⏱️ ~25 minutes Pre-merge checks and finishing touches❌ Failed checks (1 warning)
✅ Passed checks (2 passed)
✨ Finishing touches🧪 Generate unit tests
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Actionable comments posted: 0
🧹 Nitpick comments (8)
tests/integration/test_lists/qa/llm_function_nim.txt (8)
1-13: Streaming beam matrix: confirm intended expansion and runtime budgetThe added GPT streaming-beam parametrizations multiply quickly across batch_size/return_all/num_beams. Verify CI time budget for this list and whether some variants should move to nightly.
19-23: Large Llama multi‑GPU entries: sanity‑check TIMEOUTs and CI lane405B/70B entries (with TIMEOUT 90/120/180) require specific multi‑GPU lanes. Ensure these map to the proper test-db YAML (e.g., tp/ep lanes) and won’t block pre-merge.
38-40: Cpp E2E group has cpp_e2e set to FalseLine 39 contradicts the section header “Multimodal Executor Cpp E2E Tests”. Flip the flag to True.
Apply this diff:
-examples/test_multimodal.py::test_llm_fp8_multimodal_general[fp8-fp8-scienceqa-Llama-3.2-11B-Vision-Instruct-pp:1-tp:1-bfloat16-bs:1-cpp_e2e:False] +examples/test_multimodal.py::test_llm_fp8_multimodal_general[fp8-fp8-scienceqa-Llama-3.2-11B-Vision-Instruct-pp:1-tp:1-bfloat16-bs:1-cpp_e2e:True]
49-66: Qwen variants: ensure runner capabilities match fmha_fp32_acc and plugin settingsThese configs assume FMHA FP32 accuracy path and plugins are available. Confirm the mapped CI runners (e.g., H100/B200) and that plugin build artifacts are present for these lanes.
152-154: Long‑running Mixtral 22B tests: confirm placement in nightly and timeout headroomTIMEOUT(120/90) might be tight on busy CI. Consider bumping or marking as nightly if flakes appear.
388-399: E2E additions: check data/model availability and cache policyThese tests pull large models and multimodal assets. Confirm they rely on CI caches or pre‑staged artifacts to avoid timeouts.
453-455: Triton tests commented out at end: keep them last or move to a dedicated listAs noted by the inline comment, keeping them last avoids side‑effects. Alternatively, move to a separate list consumed by the relevant lane.
1-455: General hygiene: add automated checks for TIMEOUT format, duplicates, and missing filesRecommend adding a lightweight presubmit that validates:
- TIMEOUT format “TIMEOUT (NN)” at line end
- No exact duplicate lines
- All referenced test files exist
I can contribute a guard script if useful.
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tests/integration/test_lists/qa/llm_function_nim.txt(5 hunks)
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🧠 Learnings (8)
📓 Common learnings
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.
Learnt from: tongyuantongyu
PR: NVIDIA/TensorRT-LLM#7781
File: tests/integration/test_lists/waives.txt:313-313
Timestamp: 2025-09-17T02:48:52.732Z
Learning: In TensorRT-LLM, `tests/integration/test_lists/waives.txt` is specifically for waiving/skipping tests, while other test list files like those in `test-db/` and `qa/` directories are for different test execution contexts (pre-merge, post-merge, QA tests). The same test appearing in both waives.txt and execution list files is intentional - the test is part of test suites but will be skipped due to the waiver.
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.
📚 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/qa/llm_function_nim.txt
📚 Learning: 2025-09-17T02:48:52.732Z
Learnt from: tongyuantongyu
PR: NVIDIA/TensorRT-LLM#7781
File: tests/integration/test_lists/waives.txt:313-313
Timestamp: 2025-09-17T02:48:52.732Z
Learning: In TensorRT-LLM, `tests/integration/test_lists/waives.txt` is specifically for waiving/skipping tests, while other test list files like those in `test-db/` and `qa/` directories are for different test execution contexts (pre-merge, post-merge, QA tests). The same test appearing in both waives.txt and execution list files is intentional - the test is part of test suites but will be skipped due to the waiver.
Applied to files:
tests/integration/test_lists/qa/llm_function_nim.txt
📚 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/qa/llm_function_nim.txt
📚 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/qa/llm_function_nim.txt
📚 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/qa/llm_function_nim.txt
📚 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/test_lists/qa/llm_function_nim.txt
📚 Learning: 2025-08-11T20:09:24.389Z
Learnt from: achartier
PR: NVIDIA/TensorRT-LLM#6763
File: tests/integration/defs/triton_server/conftest.py:16-22
Timestamp: 2025-08-11T20:09:24.389Z
Learning: In the TensorRT-LLM test infrastructure, the team prefers simple, direct solutions (like hard-coding directory traversal counts) over more complex but robust approaches when dealing with stable directory structures. They accept the maintenance cost of updating tests if the layout changes.
Applied to files:
tests/integration/test_lists/qa/llm_function_nim.txt
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- GitHub Check: Pre-commit Check
🔇 Additional comments (6)
tests/integration/test_lists/qa/llm_function_nim.txt (6)
41-48: Phi MoE/quant set looks goodCoverage across LoRA and fp8/bf16 combos is comprehensive and consistent with existing patterns.
70-71: Audio model test requires media assets/codecsqwen2audio typically needs audio samples and codec availability. Verify test harness bundles assets or fetches them, and that the lane has the necessary system deps.
181-197: Duplication across CLI flow and LLM API suites is acceptableNoting intentional overlap per team practice; no action needed.
449-452: QA for default backend tests: good placementThese guardrails for “pytorch default” look appropriately scoped.
212-271: “Pivot to PyTorch” block: ensure default backend toggle is wiredSince this promotes PyTorch as default, verify the code path that sets LLM API default backend and that CI sets any required env flags.
Run:
96-151: Accuracy list expansion: verify test symbols and avoid accidental typosAutomated verification couldn't complete in the sandbox (error: "/bin/bash: -c: line 5: conditional binary operator expected"). Run the verifier locally or manually confirm every entry in tests/integration/test_lists/qa/llm_function_nim.txt maps to an existing class/method in the referenced files to prevent scheduler hard-fail.
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Signed-off-by: Ivy Zhang <[email protected]>
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PR_Github #19297 [ run ] completed with state |
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