Files
sglang/test/registered
laoyao0822 0043037f78 Keep CP HiCache owner lanes padded for valid-tail victims
Load-back owner-lane eviction can need to evict a device-resident node whose radix value is a valid tail shorter than the physical tail page. The eviction planner now pads that value only to the page boundary before deriving owner counts, matching the existing write/load capacity contract without exposing padding to radix or scheduler lengths.

Constraint: CP HiCache capacity remains page-owner based while radix node values remain valid-token based.
Constraint: Avoid collectives; owner-lane capacity must be deterministic from local metadata and logical page ids.
Rejected: Require device-resident victim values to be page-aligned | valid-tail cache nodes are now an intentional supported state.
Rejected: Pad to cp_size pages | this would waste KV and violate the page-boundary-only contract.
Confidence: medium
Scope-risk: narrow
Directive: If split-inside-tail support is added later, preserve page ownership/refcount semantics before sharing one padded physical page across radix nodes.
Tested: local py_compile for hiradix_cache.py and touched CP HiCache tests.
Tested: remote g0034 new C8 exact tests: 3 passed, 3 warnings.
Tested: remote g0034 CP HiCache impacted suites: 146 passed, 5 warnings.
Tested: remote g0034 CP shared KV C1-C5 suite: 122 passed, 5 warnings.
Not-tested: full local pytest, blocked by missing runtime dependencies such as starlette.
Not-tested: CUDA E2E runtime for this commit.
Co-authored-by: OmX <omx@oh-my-codex.dev>
2026-05-29 05:39:25 +08:00
..
2026-03-21 17:10:35 +08:00

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.