leavelet
6bd5d5760c
Add build_layer_blocks: the pure per-layer transfer-address computation (src/dst addrs + lengths for layer L's owned page blocks), the core of the context's get_blocks closure. Mirrors the mooncake set_transfer_blocks math; the page index lists are identical across layers, so only the per-layer base ptr + item_len change. Unit-tested (3 cases incl. the cross-layer invariant). 27 per-layer/async tests green total. The remaining A3 step assembles get_blocks from the scheduler's per-request data (transfer_infos dst indices + decode_kv_args_table dst ptrs + out_cache_loc src + CP owner filter) before run_batch, and reconciles finish() with send_kv_chunk — the hot-path integration, to be verified by the bitwise-equivalence harness. 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.