leaveletandClaude Opus 4.8
7ac8067db1
Add PerLayerTransferManager: owns a worker thread-pool + the active per-request contexts for the current forward batch, registered as a KV-pool notifier. on_layer_end (forward thread) records ONE CUDA event on the compute stream and enqueues (ctx, layer, event) per active context; workers do the event-wait + async submit OFF the forward thread. finish(room) waits the request's transfers. event_factory/current_stream injected for unit-testability (no CUDA needed). Unit-tested (5 manager cases, 11 total in test_cp_per_layer_transfer.py): per-active-ctx enqueue with the event recorded on the stream, worker-step submit + mark-failed-on-exception, finish pop + idempotency, no-op when idle. The A3 scheduler wiring (notifier registration + setup-before-forward + finish-after + no-double-send reconcile) is the remaining hot-path step; plan locked in lever-a-implementation-plan.md. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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.