[Bugfix][LoRA] Use stored rsLoRA scaling factor in MoE expert packing - #55548
[Bugfix][LoRA] Use stored rsLoRA scaling factor in MoE expert packing#55548kushaldabbe wants to merge 1 commit into
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pack_moe and pack_moe_stacked recomputed scaling as lora_alpha / rank, ignoring the per-adapter vllm_lora_scaling_factor (alpha/sqrt(r) for use_rslora) that the dense path applies via pack()+optimize(). rsLoRA adapters targeting MoE experts were therefore applied with a delta sqrt(r) times weaker, silently. Use the stored factor; keep the non-gated w3 scaling at 1.0. Co-authored-by: GLM-5.3 Signed-off-by: Kushal <72650064+kushaldabbe@users.noreply.github.com>
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Included review availability: Your plan provides up to 10 included reviews per hour; 9 remain after this review. 📝 SummarySummary by CodeRabbit
WalkthroughMoE LoRA packing now preserves each adapter’s stored scaling for regular and stacked weights. New tests cover plain scaling, RS-LoRA scaling, and the non-gated ChangesMoE LoRA scaling
Estimated code review effort: 2 (Simple) | ~10 minutes Merge Risk: ⚪ Minimal · up to MoE LoRA packing now preserves stored adapter scaling, including rsLoRA behavior, while retaining the non-gated w3 exception. The affected paths have focused regression coverage, with no remaining current-head merge risk identified. 🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
✨ Finishing Touches 💡 1🛠️ Fix failing CI checks 💡
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Purpose
Fixes #55545.
pack_moe/pack_moe_stackedrecompute scaling aslora_alpha/rank, dropping the stored rsLoRA factor (alpha/sqrt(r)) that the dense path applies viapack()+optimize(). MoE expert adapters trained withuse_rsloratherefore apply a deltasqrt(r)times weaker, silently.Test Plan
.venv/bin/python -m pytest tests/lora/test_lora_weights.py -v
Test Result
Without fix: 3 failed, 2 passed. With fix: 5 passed. (verified locally on main f2e2936; unit-level, CPU-only)
AI assistance: fix and tests drafted with GLM-5.3; reviewed and verified by hand.