wxiwnd
520770da4c
Route supported multi-request CP shared-KV extend allocation through request-local owner plans so downstream direct-write paths can trust flattened out_cache_loc owner lanes. Unsupported page plans now fail fast instead of falling back to legacy allocation. Include the normative govctl RFC and completed work-item trail in the tracked repository; keep transient superpowers planning outside the sglang branch. Constraint: RFC-0001 W2 requires no legacy multi_batch fallback for supported bs>1 owner-lane allocation Rejected: concatenating requests before owner planning | CP ownership is request-relative Rejected: committing only docs/superpowers plan | it omits the normative RFC and work-item trail Confidence: high Scope-risk: moderate Directive: Preserve flattened request order when changing CP shared-KV allocation; run govctl from the sglang repository root Tested: remote uv test_nsa_cp_utils.py 39 OK; remote uv test_cp_shared_kv_layout.py 34 OK; remote uv test_alloc_pages_with_owners.py 10 OK; govctl check; git diff --check Not-tested: CUDA ETE/perf paths beyond focused W1/W2 unit suites
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.