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Avoid entering the FP8 MegaMoE fused path when the installed DeepGEMM exposes fp8_mega_moe but cannot allocate an fp8xfp8 MegaMoE symmetric buffer. Current B300 sgl-deep-gemm asserts that MegaMoE buffer mma_type is fp8xfp4, so FP8 weights must fall back until dependency support lands. Tested: PYTHONPYCACHEPREFIX=/private/tmp/sglang_pycache python3 -m py_compile python/sglang/srt/layers/moe/mega_moe.py test/registered/unit/moe/test_glm_megamoe.py Tested: git diff --check Remote-tested: root@95.133.252.48 B300 DeepGEMM capability probe showed fp8xfp8 MegaMoE buffer fails with mma_type_str == fp8xfp4.
Registered Tests
Tests under this directory are auto-discovered by run_suite.py via CI registration decorators.
Where Should I Put My New Test?
No server / engine launch required
| What you're testing | Directory | Requires |
|---|---|---|
| Component logic in isolation (cache, scheduler, config, parser, etc.) | unit/<module>/ |
CPU or GPU |
| CUDA kernel correctness | kernels/ |
GPU |
Server / engine launch required (E2E)
| What you're testing | Directory | Requires |
|---|---|---|
| Model inference correctness | models/, 4-gpu-models/, 8-gpu-models/ |
GPU |
| Feature-specific (OpenAI API, LoRA, speculative, distributed, VLM, etc.) | openai_server/, lora/, spec/, distributed/, ... |
GPU |
| Benchmarks (performance, accuracy, stress) | benchmark/ |
GPU |
| Platform-specific | amd/, ascend/ |
Vendor GPU |
See unit/README.md for unit test conventions.