Cache-hit EAGLE/NextN draft extends can enter the draft DeepEP MoE immediately after CP shared-KV attention. The partial current-reuse path is kept for target layers, but draft cache-hit suffixes now use full materialization until draft has an explicit same-layer reuse contract. Next-layer MLA/index prefetch is also gated by the actual model depth, so the single-layer draft model does not enqueue unused next-layer async work. The temporary stage traces used to isolate the hang are removed. The retained draft current-reuse fallback is a bounded warning because it changes the runtime path intentionally. Constraint: EAGLE/NextN has one executable draft layer and mirrors target KV state. Rejected: Keep partial current reuse for draft cache-hit suffixes | reproduced hangs at draft layer0 before DeepEP MoE completion. Rejected: Keep temporary stage traces | useful for diagnosis but too noisy for normal runs. Confidence: medium Scope-risk: moderate Directive: Do not re-enable draft cache-hit partial current reuse without an explicit draft same-layer reuse contract and ETE validation with CP shared KV + HiCache + EAGLE. Tested: py_compile on edited Python files; git diff --check; temp trace grep returned no matches. Not-tested: Local targeted pytest is blocked by missing pybase64 in this environment; full ETE after log cleanup not run.
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.