leavelet
e9354c41bc
The per-layer KV transfer registration hardcoded chunk_page_start=0 when filtering CP-shared-KV owned pages. The CP filter's second return (`positions`) are absolute full-sequence page positions built from chunk_page_start, and the transfer indexes the FULL-request dst_kv_indices by those absolute positions (mirroring the monolithic send(), which passes chunk_page_start=index_slice.start — the cumulative page offset). With start=0, chunk N>0's positions were chunk-local, so its KV was written onto chunk 0's decode pages, corrupting the decode output. Non-chunked requests (single chunk, start=0) were unaffected, matching the observed symptom (non-chunked byte-identical, chunked garbage). Fix: chunk_page_start = chunk_key // page_size, where chunk_key is the chunk's start_send_idx (page-aligned), making it exactly the monolithic index_slice.start. Verified: opus first-principles code audit; empirical mapping-invariant on the deployed modules (per-chunk == whole-request for all 8 CP ranks; old start=0 sends chunk1 to chunk0's dst); 2 new regression tests (TestChunkedDstMapping). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Registered Tests
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| 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.