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WalkthroughDeepSeek V4 tests now run with selected world sizes of 4 or 8, subject to rank availability and, for four-GPU Pro runs, a memory threshold. Test entries and references use updated parameterized test names. ChangesDeepSeek V4 integration tests
Priority: Estimated code review effort: 2 (Simple) | ~12 minutes Change: Other Suggested reviewers: Merge Risk:
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| Check name | Status | Explanation | Resolution |
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| Docstring Coverage |  |
Docstring coverage is 28.57% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 7 functions across 2 files. (4 skipped: 4… | Write docstrings for the functions missing them to satisfy the coverage threshold. |
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Check name Status Explanation Title check The title clearly identifies the test change and its purpose: selecting DeepSeek-V4 Flash, Pro, and DSpark TP/EP settings by GPU count. It follows the required [None][type] format. Description check The description explains the change, the target 4-GPU systems, and provides a relevant test report. It includes the required Description, Test Coverage, and PR Checklist sections, with the final check… Linked Issues check Check skipped because no linked issues were found for this pull request. Out of Scope Changes check Check skipped because no linked issues were found for this pull request. Full details: Description check
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Explanation
The description explains the change, the target 4-GPU systems, and provides a relevant test report. It includes the required Description, Test Coverage, and PR Checklist sections, with the final checklist confirmation selected.
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Full details: Docstring Coverage
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Explanation
Docstring coverage is 28.57% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 7 functions across 2 files. (4 skipped: 4 unsupported.)
Resolution
Write docstrings for the functions missing them to satisfy the coverage threshold.
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Review comments at @tests/integration/defs/accuracy/test_llm_api_pytorch.py:
- Around line 2095-2096: Update the four-GPU eligibility check in
_deepseekv4_world_size to rely on directly reported GPU memory, not
get_device_memory’s host-memory fallback; skip four-GPU qualification when GPU
capacity cannot be established.
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tests/integration/defs/.test_durationstests/integration/defs/accuracy/references/acceptance_length.yamltests/integration/defs/accuracy/test_disaggregated_serving.pytests/integration/defs/accuracy/test_llm_api_pytorch.pytests/integration/test_lists/qa/llm_function_core.txttests/integration/test_lists/test-db/l0_dgx_b200.yml
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Review comments at @tests/integration/defs/accuracy/test_llm_api_pytorch.py:
- Around line 2093-2094: Update _deepseekv4_world_size() to select a world size
of 8 only when both the available device count and active MPI world size support
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Approving — the comments below are optional touch-ups, not blockers.
This keeps the 8-GPU path the same on B200 and lets GB300/VR200 run with 4 GPUs. I checked the rename and nothing still refers to the old name.
The PR's Description section is still the template placeholder. Please add a couple of lines covering:
- which tests now fall back to 4 GPUs;
- the 250 GB per-GPU threshold for Pro;
- the
dep8rename, so anyone tracking the old test ID can find the new one.
Nothing in test-db exercises the 4-GPU path, so it is covered only by the QA list run linked in the description. If that is intended, please say so in the description.
TestDeepSeekV41::test_gsm8k_dspark ([tests/integration/defs/accuracy/test_llm_api_pytorch.py:2028](https://github.com/NVIDIA/TensorRT-LLM/pull/20466/files#diff-b83f3ebd4789b8e6345e1bdb9dd50aa3a6a227ae92ab3a127cdf8948601b88f6R2028)) repeats the same "MPI world size, else device count" logic inline. It could call the new helper's rank-count logic, or the two could share a small _available_ranks() function, so they can't drift apart.
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Automatically added "ci: full pre-merge approved" because this PR has satisfied the required GitHub review approvals. Unresolved review conversations and other required checks remain independent merge requirements. |
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PR_Github #80016 [ run ] completed with state Resource maintenance in LLM/main/L0_Test-x86_64-Multi-GPU #742: B200 multi-GPU stages are paused to relieve the CI queue backlog (109 running / 459 pending on 2026-10-22). Owner: @sharabeshj-nvda. The CI team decides when to lift it.
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PR_Github #80320 [ run ] completed with state Resource maintenance in LLM/main/L0_Test-x86_64-Multi-GPU #3322: B200 multi-GPU stages are paused to relieve the CI queue backlog (109 running / 459 pending on 2026-10-22). Owner: @sharabeshj-nvda. The CI team decides when to lift it.
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… and DEP8 Signed-off-by: Xin He (SW-GPU) <200704525+xinhe-nv@users.noreply.github.com>
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Pick DeepSeek-V4 Flash/Pro/DSpark TP/EP by GPU count so that the cases can run on GB300 and VR200 4gpus.
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)
If PR introduces API changes, an appropriate PR label is added - either
api-compatibleorapi-breaking. Forapi-breaking, includeBREAKINGin the PR title.Any new dependencies have been scanned for license and vulnerabilities
CODEOWNERS updated if ownership changes
Documentation updated as needed
Update tava architecture diagram if there is a significant design change in PR.
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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/bot help.Dev Engineer Review
The diff changes only
tests/integration/defs/accuracy/test_llm_api_pytorch.py. It reformats imports and changes two RCCA strings to docstrings. It does not implement the GPU-count-based parallelism selection or DeepSeek-V4 test rename described in the objectives. No test behavior change is evident.QA Engineer Review
One integration test file changed. No test functions, test IDs, selectors, or waivers changed. The changed code is limited to formatting and docstring syntax. Test execution results are not established. Coverage verdict: sufficient for the changes shown.
Per-File QA Perspective
tests/integration/defs/accuracy/test_llm_api_pytorch.py: Contains LLM API accuracy tests. The diff changes import formatting and two RCCA strings to docstrings; no observable test behavior change is evident. Test-list membership is not established by the supplied diff.