leavelet
beffd3a82f
Per code review (HiCache load is layer-by-layer & correctly ordered into the compute stream before the backup hook; current-reuse is a within-forward read that doesn't rewrite pool pages): unify registration to the EXACT range this forward's send_kv_chunk transmits — req_to_token[start_send_idx:end_idx], page-floored for a non-last chunk. Non-chunked = one full range; chunked = one range per chunk. Drop the is_chunked/start_send_idx skip. To avoid the review's collision risk (chunk N still finishing when chunk N+1 registers), the manager keys contexts per (room, start_send_idx): _active[room] is a FIFO deque of (chunk_key, ctx); register dedups the same chunk but appends a new one; finish(room) pops the FRONT (chunks finish in send order — no chunk key needed in the transfer_worker); drop drains all the room's chunks; on_layer_end enqueues for all active chunk contexts (per-ctx note_enqueued dedup keeps each chunk's own events). 28 unit tests pass incl. chunked FIFO + per-chunk dedup. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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.