19dcd6c4dc
The bs>1 path needs index top-k, shared-index prepare, current-index compact, and current-slot compose to consume flattened batch descriptors instead of falling back to per-request or per-segment Python/Torch work. This change wires SGLang to the new TAI batch prepare kernels, keeps fallback explicit, and records the remaining HiCache/load-backup gaps in the bs>1 workstream docs. Constraint: CP shared-KV bs>1 must reuse fast paths rather than adding slow batch-only fallbacks Constraint: No new collective operations were introduced Rejected: Leave current-only cp_index as Python slice/cat | it keeps per-segment overhead in the short-extend bs>1 case Rejected: Infer max segment lengths from CUDA descriptor tensors | .item() would add CPU synchronization on the hot path Confidence: medium Scope-risk: moderate Directive: Do not remove the explicit fallback warnings without verifying the corresponding TAI symbols are present in production Tested: local py_compile for touched SGLang files Tested: remote g0034 test_nsa_cp_utils.py passed, 53 tests Tested: remote g0034 test_fill_current_index_page_slots_uses_tai_kernel_when_available passed Not-tested: full ETE bs>1 traffic with HiCache load/backup and draft/EAGLE enabled
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.