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CpSharedL2SlabAccessor (HIGH-1): memcpy-gather a page's N_layers strided slab slices into a contiguous buffer (spill) + scatter a contiguous blob back into the strided slices (reload) — the cheap RAM bridge that lets host stay layer_page_first (inference perf) while disk is page-contiguous. Generic CpL3SlabLayout(n_layers, page_num, slice_bytes) with verified-from-source factories: for_mla (layer_num,page_num,page_size,kv_cache_dim,itemsize -> 2.74 MiB/page) and for_index (n_active_layers,indexer_page_num,indexer_page_stride -> 0.17/0.63 MiB/page). gather_into/ scatter_from take an offset so the spill writes straight after the 64B slot header (zero extra copy). Pure (mmap+ints), no torch. 8/8 tests. Canonical layer 0..N-1 order shared by spill+reload. 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.