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[https://nvbugs/5410687][test] Add deepseek r1-w4afp8 quickstart #7645
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[https://nvbugs/5410687][test] Add deepseek r1-w4afp8 quickstart #7645
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Signed-off-by: FredricZ-2007 <226039983+fredricz-20070104@users.noreply.github.com>
Signed-off-by: FredricZ-2007 <226039983+fredricz-20070104@users.noreply.github.com>
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📝 WalkthroughWalkthroughAdds a new DeepSeek 8‑GPU end-to-end test to the integration suite, updates imports to include skip_pre_ada, and registers the test in two QA test lists. The new test block appears twice in the e2e file, creating a duplicate definition. Changes
Estimated code review effort🎯 2 (Simple) | ⏱️ ~10 minutes Pre-merge checks (1 passed, 2 warnings)❌ Failed checks (2 warnings)
✅ Passed checks (1 passed)
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Actionable comments posted: 1
🧹 Nitpick comments (2)
tests/integration/defs/test_e2e.py (2)
35-36: Drop redundant skip_pre_ada import.This test is already gated stricter via skip_pre_hopper on the param; skip_pre_ada at function-level adds noise.
Apply:
-from .conftest import (llm_models_root, skip_no_sm120, skip_nvlink_inactive, - skip_post_blackwell, skip_pre_ada, skip_pre_blackwell, +from .conftest import (llm_models_root, skip_no_sm120, skip_nvlink_inactive, + skip_post_blackwell, skip_pre_blackwell, skip_pre_hopper, tests_path, unittest_path)
2158-2190: W4AFP8 8-GPU quickstart: solid gating; consider removing skip_pre_ada and add traceability note.
- Keep only skip_post_blackwell + param-level skip_pre_hopper; drop skip_pre_ada to avoid mixed gating.
- Add NVBugs reference for future maintainers.
Apply:
-@skip_pre_ada @skip_post_blackwell @pytest.mark.skip_less_device_memory(80000) @pytest.mark.skip_less_device(8) @pytest.mark.parametrize("model_name,model_path", [ pytest.param('DeepSeek-R1-W4AFP8', 'DeepSeek-R1/DeepSeek-R1-W4AFP8', marks=skip_pre_hopper), ]) def test_ptp_quickstart_advanced_deepseek_r1_w4afp8_8gpus( llm_root, llm_venv, model_name, model_path): - print(f"Testing {model_name}.") + # NVBugs: 5410687 – DeepSeek R1 W4AFP8 quickstart validation. + print(f"Testing {model_name}.")
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📒 Files selected for processing (3)
tests/integration/defs/test_e2e.py(2 hunks)tests/integration/test_lists/qa/llm_function_core.txt(1 hunks)tests/integration/test_lists/qa/llm_function_core_sanity.txt(1 hunks)
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**/*.{h,hpp,hh,hxx,cpp,cxx,cc,cu,cuh,py}
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**/*.py
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tests/integration/defs/test_e2e.py
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🧠 Learnings (3)
📚 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_core.txttests/integration/test_lists/qa/llm_function_core_sanity.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_core.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_core.txt
🧬 Code graph analysis (1)
tests/integration/defs/test_e2e.py (1)
tests/integration/defs/conftest.py (5)
tests_path(85-86)unittest_path(89-90)llm_root(181-182)llm_venv(715-732)llm_models_root(77-82)
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🔇 Additional comments (2)
tests/integration/test_lists/qa/llm_function_core_sanity.txt (1)
218-218: No duplicate entries found
The testtest_e2e.py::test_ptp_quickstart_advanced_deepseek_r1_w4afp8_8gpusappears only once in tests/integration/test_lists/qa/llm_function_core_sanity.txt (line 218).tests/integration/defs/test_e2e.py (1)
2188-2189: Persist logs to verify peak memory or manually confirm on 8-GPU node
NamedTemporaryFile is deleted on close, so static grepping *.log won’t work. Run the test on a representative 8-GPU node with delete_on_close disabled (or redirectrunning_logto a persistent file) and inspect the “Peak memory during memory usage profiling” entry to confirm the 50.0 GiB threshold.
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…DIA#7645) Signed-off-by: FredricZ-2007 <226039983+fredricz-20070104@users.noreply.github.com>
Add deepseek r1-w4afp8 quickstart.
According to this bug ID - https://nvbugspro.nvidia.com/bug/5410687.
Summary by CodeRabbit
Description
Test Coverage
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)
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CODEOWNERS updated if ownership changes
Documentation updated as needed
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