f0c6b892b6
CP draft shared-KV target prefill only needs the CP-local draft hidden side channel until draft prefill consumes it. The reused ModelWorkerBatch was left with capture_draft_hidden_states enabled, and LogitsProcessorOutput retained the extra draft_hidden_states tensor past that point. Restore the capture flags after target prefill, disable draft-hidden capture for draft prefill, and drop the consumed reference. Constraint: Large CP prefill batches are memory-sensitive; an extra hidden tensor held across the speculative step materially increases peak memory. Rejected: Leave capture_draft_hidden_states sticky across draft prefill | it can capture or retain hidden state outside the target-side CP-local side channel. Confidence: high Scope-risk: narrow Directive: Keep CP-local draft hidden as a target-prefill-only side channel unless the draft worker explicitly owns a new lifetime contract. Tested: g0034 cjy-glm5-new PYTHONPATH=python python -m pytest -q test/registered/unit/mem_cache/test_cp_shared_kv_runtime.py::TestCpSharedKVRuntimeHelpers::test_token_slot_remap_cache_distinguishes_same_storage_views test/registered/unit/mem_cache/test_cp_shared_kv_runtime.py::TestCpSharedKVRuntimeHelpers::test_paged_slot_remap_cache_distinguishes_same_storage_views test/registered/unit/speculative/test_eagle_worker_v2_cp_hidden.py Not-tested: full speculative integration/E2E workload. (cherry picked from commit f31ef2293ce0cdda2359a5f4713996d78b47f9df)
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.