test incidental support for fp32 unpacked expert weights from #3763 - #4448
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bkryu merged 1 commit intoAug 11, 2026
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…fer-ai#3763 Signed-off-by: jdebache <jdebache@nvidia.com>
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August 10, 2026 18:36
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No actionable comments were generated in the recent review. 🎉 ℹ️ Recent review info⚙️ Run configurationConfiguration used: defaults Review profile: CHILL Plan: Pro Plus Run ID: 📒 Files selected for processing (1)
📝 WalkthroughWalkthroughRouted MoE tests now support packed and unpacked FP32 routing inputs. Coverage includes BF16, FP8 block-scale, FP4 block-scale, and MXFP8 activation-parity paths. ChangesRouted MoE routing formats
Estimated code review effort: 3 (Moderate) | ~20 minutes Possibly related PRs
Suggested labels: Suggested reviewers: 🚥 Pre-merge checks | ✅ 5✅ Passed checks (5 passed)
✨ Finishing Touches 💡 1🛠️ Fix failing CI checks 💡
🧪 Generate unit tests (beta)
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/bot run tests/moe |
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aleozlx
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Aug 10, 2026
This was referenced Aug 12, 2026
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📌 Description
Add unpacked FP32 routing coverage for BF16, FP8, FP4, and MXFP8 routed MoE paths.
🔍 Related Issues
Testing to address this comment: vllm-project/vllm#46872 (review).
🚀 Pull Request Checklist
Thank you for contributing to FlashInfer! Before we review your pull request, please make sure the following items are complete.
✅ Pre-commit Checks
pre-commitby runningpip install pre-commit(or used your preferred method).pre-commit install.pre-commit run --all-filesand fixed any reported issues.🧪 Tests
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