[https://nvbugs/6663062][fix] remove Mistral moe tests - #18288
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Signed-off-by: Xin He (SW-GPU) <200704525+xinhe-nv@users.noreply.github.com>
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Included review availability: Your plan provides up to 12 included reviews per hour; 11 remain after this review. WalkthroughThe FP8 quantization loader now defaults a missing ChangesFP8 quantization configuration
MoE LoRA integration-test cleanup
Estimated code review effort: 3 (Moderate) | ~20 minutes Merge Risk: 🔵 Low · up to This change corrects the Mistral Small 4 test model path without introducing a supplied production behavior risk. The PR is mergeable with owner awareness that the added test function should include the required return annotation. Suggested reviewers: 🚥 Pre-merge checks | ✅ 3 | ❌ 2❌ Failed checks (2 warnings)
✅ Passed checks (3 passed)
Full details: Description checkResolution Add a concise Description explaining why the Mistral MoE tests were removed and what FP8 configuration change was made. Add Test Coverage listing the new unit test and relevant validation. Complete the applicable checklist items and confirm any API or documentation impact.
✨ Finishing Touches🧪 Generate unit tests (beta)
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Signed-off-by: Xin He (SW-GPU) <200704525+xinhe-nv@users.noreply.github.com>
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Inline comments:
In `@tests/unittest/_torch/test_hf_quant_config.py`:
- Around line 67-81: Add tests/unittest/_torch/test_hf_quant_config.py to the
l0_cpu.yml test list and annotate
test_load_hf_quant_config_defaults_null_fp8_weight_block_size with a None return
type.
Apply the same fix in `@tests/unittest/_torch/test_hf_quant_config.py` at line 67.
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Fix all unresolved CodeRabbit comments on this PR:
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tensorrt_llm/_torch/model_config.pytests/unittest/_torch/test_hf_quant_config.py
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Signed-off-by: Xin He (SW-GPU) <200704525+xinhe-nv@users.noreply.github.com>
Signed-off-by: Xin He (SW-GPU) <200704525+xinhe-nv@users.noreply.github.com>
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Dev Engineer Review
weight_block_sizevalue[128, 128]when the value is absent.QA Engineer Review
test_mixtral_moe_routed_expert_fp8_multi_lora_varying_ranks.tests/integration/test_lists/qa/llm_function_core.txt.tests/integration/test_lists/test-db/l0_h100.yml.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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