1b99de7459
The bs>1 prefill path has multiple coupled stages: scheduler admission, page-aligned batch planning, tensor splitting, direct cache writes, index top-k, MLA reuse, and disaggregated KV handoff. Add a default-off, rate-limited debug channel so production ETE runs can identify where batching or metadata semantics diverge without permanently increasing hot-path log volume. Constraint: Logs must be default-off and rate-limited because these paths execute per-rank and often per-layer. Rejected: Always-on INFO logs | would flood logs and add CPU overhead during normal prefill. Rejected: Only scheduler-side logging | insufficient to distinguish planner, index, MLA, and transfer handoff failures. Confidence: medium Scope-risk: moderate Directive: Keep bs>1 debug evidence env-gated; do not add unconditional per-layer or per-token logs in these paths. Tested: Local py_compile for touched files Tested: git diff --check Tested: Remote py_compile and targeted NSA CP utility tests: 5 passed Not-tested: Full ETE correctness with debug disabled
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.