d7723aca07
EAGLE draft shared-KV is supposed to mirror the target CP layout, so bs>1 must not fall back to legacy full-input or padded-hidden behavior when required batch metadata is missing or inconsistent. This change keeps the existing bs=1 compatibility path but makes batched CP draft fail fast on missing/mismatched spec hidden states, embedding pad metadata, or input embed shapes. The docs record the current W7 boundary: draft prefill follows target metadata, while scheduler admission and ETE remain gated. Constraint: CP draft KV must mirror target layout and must not silently diverge under bs>1 shared-KV. Rejected: Allow bs>1 to use the old full-input fallback | it can hide wrong owner/page metadata and corrupt accept length. Confidence: medium Scope-risk: moderate Directive: Do not open the scheduler bs>1 CP gate until EAGLE accept length/output length are verified with this fail-fast path enabled. Tested: Remote g0034 targeted EAGLE fail-fast unit test passed; remote full test/registered/unit/layers/test_nsa_cp_utils.py passed 70 tests. Not-tested: EAGLE bs>1 ETE, because scheduler CP bs>1 admission gate remains closed.
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.