The missing index prefetcher state is expected when MLA/index prefetch is disabled. Logging it as an index-prefetch fallback made the normal synchronous materialize path look like a failed fast path and created noisy reports. This keeps consume-miss warnings for enabled prefetchers, but suppresses missing-prefetcher warnings when the prefetch feature gate is off. Constraint: Index prefetch is controlled by the same MLA prefetch enable gate in the current pipeline. Rejected: Suppress all index prefetch fallback warnings | consume misses still indicate an enabled prefetch pipeline failed to serve a requested buffer. Confidence: high Scope-risk: narrow Directive: Missing prefetcher is not a fallback when SGLANG_CP_SHARED_KV_ENABLE_MLA_PREFETCH=0; do not re-add warning noise without a separate enable gate. Tested: Local py_compile for nsa_indexer.py and test_cp_shared_kv_runtime.py. Tested: Remote g0034 targeted regression set passed 4 tests: disabled sync materialize no warning, consume miss warning, first-layer no-warning, enabled create-skip warning. Not-tested: Full CUDA ETE run with logs.
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.