7c8fa2f71c
The CP shared-KV allocator was still doing total-cache-sized CPU work in the scheduler hot path. That cannot be hidden by GPU overlap, so owner-lane allocation now maintains per-owner free/release buckets and consumes request-sized prefixes instead of rebuilding masks over the full free-page tensor on each request.\n\nThe benchmark was extended to isolate L1 stats, selection, and allocation costs, and the CPU layout tests now install a complete sgl_kernel stub before importing SGLang helpers so remote unit collection does not abort in native extension loading.\n\nConstraint: Allocator CPU work blocks scheduler progress and cannot overlap with GPU forward execution.\nConstraint: CPU unit tests must not load native sgl_kernel on remote images where the loader can SIGABRT.\nRejected: Keep contiguous-run search over full free_pages | still scales with cache capacity and measured multi-ms overhead.\nRejected: Treat remote collection abort as an environment-only issue | it prevented allocator regression coverage and was fixable with a test-local stub.\nConfidence: high\nScope-risk: moderate\nDirective: CP owner-lane allocation is bucket-based; do not reintroduce full free_pages scans on the hot path without benchmark evidence.\nTested: Local py_compile for touched files\nTested: Local benchmark unit test, 6 passed\nTested: Remote benchmark unit test, 6 passed\nTested: Remote test_alloc_pages_with_owners.py, 10 passed\nTested: Remote test_cp_shared_kv_layout.py, 27 passed\nTested: Remote production allocator microbench shows select/alloc p50 reduced from ms-scale to sub-ms scale\nNot-tested: Full ETE traffic run after allocator bucket change
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.