e09c8256d7
The compute-owner allocation path is an intended hot path for CP shared KV. Falling back to legacy page allocation changes the behavior profile enough that INFO/no-marker logging is too easy to miss during profiling. This makes the fallback warning-visible and gives it the standard CP shared-KV fallback marker while preserving the existing behavior of logging every fallback event. Constraint: Production fallbacks from intended CP shared-KV hot paths must be visible and grep-able. Rejected: Keep INFO logging | historical silent or low-visibility fallbacks hid inactive optimized paths. Confidence: medium Scope-risk: narrow Directive: Keep fallback logs warning-level unless the path is proven to be expected steady state and separately observable. Tested: Local py_compile for common.py and test_cp_shared_kv_layout.py. Tested: Local extracted assertLogs check for _log_cp_shared_kv_alloc_fallback warning prefix and reason formatting. Tested: Remote g0034 py_compile for common.py and test_cp_shared_kv_layout.py. Not-tested: Full remote pytest for test_cp_shared_kv_layout.py; current g0034 container aborts while importing installed sgl_kernel common_ops before test execution. Co-authored-by: OmX <omx@oh-my-codex.dev>
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.