leavelet
b1cbacffae
test_cp_shared_kv_runtime installs CPU-CI sgl_kernel stubs at import time via sys.modules.setdefault + torch.library FRAGMENT defs. On a GPU box, when this module is collected before the real sgl_kernel loads, the empty stub permanently shadows it process-wide, so a later real-kernel test (e.g. fast_topk_transform_ragged_fused in test_nsa_topk_transform) calls a None-returning lambda and crashes. Importing the real sgl_kernel first makes setdefault keep the real module (setattr only fills missing names) and the FRAGMENT defs hit the already-registered path; on CPU-CI the import fails and stubbing proceeds as before. Verified on GPU: test_cp_shared_kv_runtime alone 120 passed; combined with test_nsa_topk_transform 125 passed (previously 1 failed / segfault on cleanup). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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.