b7364d23f9
Cache-hit EAGLE/NextN draft was falling back to full materialization while the target path used page-aligned prefix materialize plus fresh current-suffix splice. That creates a target/draft KV source asymmetry exactly on the high-cache-hit path where decode accept length collapsed. The draft model still does not get next-layer async prefetch; only the same-layer current suffix compose contract is made role-agnostic. Constraint: EAGLE/NextN has no real next decoder layer, so draft async prefetch remains disabled. Rejected: Restore draft full-materialize fallback | recreates the observed target/draft cache-hit asymmetry and hides stale-current-suffix bugs. Confidence: medium Scope-risk: moderate Directive: Do not reintroduce draft cache-hit current-reuse fallback without proving the draft persistent pool has fully fresh suffix rows before attention. Tested: Local py_compile for cp_shared_kv_runtime.py and test_cp_shared_kv_runtime.py. Tested: Remote g0034 container py_compile for changed runtime/test files. Tested: Remote g0034 pytest test_cp_shared_kv_runtime.py: 73 passed, 5 warnings, 2 subtests passed. Tested: Remote g0034 related suite test_nsa_cp_utils.py test_cp_shared_kv_layout.py test_cp_shared_kv_runtime.py: 128 passed, 5 warnings, 2 subtests passed. Not-tested: ETE cache-hit accept-length validation after restarting prefill/decode with this synced code.
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.