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[None][test] Add one-model and overlap-scheduling to eagle tests for GPTOSS #9312
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[None][test] Add one-model and overlap-scheduling to eagle tests for GPTOSS #9312
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📝 WalkthroughWalkthroughExpands the test_eagle3 test with parameterization for Changes
Estimated code review effort🎯 3 (Moderate) | ⏱️ ~20 minutes
Pre-merge checks and finishing touches❌ Failed checks (2 warnings)
✅ Passed checks (1 passed)
✨ Finishing touches
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Actionable comments posted: 0
🧹 Nitpick comments (1)
tests/integration/defs/accuracy/test_llm_api_pytorch.py (1)
3961-3985: Skip guard and config wiring are sound; consider clarifying the nvbugs comment or gating the known‑bad combo
- The new
get_sm_version() == 90 and moe_backend == "CUTLASS"skip is a reasonable, targeted guard for the referenced Hopper accuracy issue and should prevent flaky runs on that configuration.- Wiring
disable_overlap_scheduler=not overlap_schedulerandeagle3_one_model=one_modelis consistent with how other Eagle3 tests control these knobs and correctly exercises all four combinations.- Minor suggestion: the comment
# https://nvbugs/5590408: 2-Model overlap scheduling has accuracy issuenow sits above a test that actively runs the 2‑model + overlap‑scheduler case. If that nvbug is still expected to manifest for that specific combination, you may want to either:
- add a conditional
pytest.skipfornot one_model and overlap_scheduler, or- update the comment to reflect the current status/scope of the issue so future readers aren’t confused.
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📒 Files selected for processing (2)
tests/integration/defs/accuracy/test_llm_api_pytorch.py(2 hunks)tests/integration/test_lists/waives.txt(0 hunks)
💤 Files with no reviewable changes (1)
- tests/integration/test_lists/waives.txt
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🧬 Code graph analysis (1)
tests/integration/defs/accuracy/test_llm_api_pytorch.py (3)
tests/integration/defs/accuracy/test_disaggregated_serving.py (1)
test_eagle3(461-515)tests/integration/defs/conftest.py (2)
get_sm_version(1892-1895)llm_models_root(80-94)tensorrt_llm/llmapi/llm_args.py (3)
CudaGraphConfig(102-159)KvCacheConfig(1426-1570)speculative_model_dir(1940-1941)
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🔇 Additional comments (1)
tests/integration/defs/accuracy/test_llm_api_pytorch.py (1)
3947-3956: Eagle3 parametrization and signature wiring look consistent and correctThe added
overlap_scheduler/one_modelparametrizations and the updatedtest_eagle3(self, moe_backend, one_model, overlap_scheduler, mocker)signature align with the patterns used by other Eagle3 tests in this file and correctly expose the new configuration space without changing behavior for existingmoe_backendvalues.
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Signed-off-by: Dongfeng Yu <[email protected]>
Signed-off-by: Dongfeng Yu <[email protected]>
Signed-off-by: Dongfeng Yu <[email protected]>
Signed-off-by: Dongfeng Yu <[email protected]>
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PR_Github #25388 [ run ] triggered by Bot. Commit: |
Summary by CodeRabbit
Tests
Bug Fixes
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)
Any new dependencies have been scanned for license and vulnerabilities
CODEOWNERS updated if ownership changes
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Update tava architecture diagram if there is a significant design change in PR.
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