89ba17ad05
Wire MegaMoE FP8 through DeepGEMM's fused fp8_mega_moe path, preserve fallback runner layouts, and add explicit NVFP4 group-size guardrails for unsupported DeepGEMM scale transforms. Tested: PYTHONPYCACHEPREFIX=/private/tmp/sglang_pycache python3 -m py_compile python/sglang/srt/layers/moe/mega_moe.py python/sglang/srt/layers/moe/moe_runner/flashinfer_trtllm.py python/sglang/srt/layers/quantization/fp8.py python/sglang/srt/layers/quantization/modelopt_quant.py test/registered/unit/moe/test_glm_megamoe.py Tested: git diff --check Not-tested: python3 -m unittest test/registered/unit/moe/test_glm_megamoe.py (local Python environments do not have torch installed).
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.