leavelet
a09aec30a3
Add _transfer_layers_async: submit each layer's transfer non-blocking via the async API (batch_transfer_async_submit), pipelining layers in the RDMA engine, then wait for all once (wait_batch_transfers). Gated by the new SGLANG_CP_SHARED_KV_PER_LAYER_TRANSFER env (default off); replaces the monolithic all-layers batch_transfer_sync on that path. This is the transfer mechanism for per-layer overlap (lever A) and removes the per-layer blocking-sync tax measured in B1a; the forward-overlap hook (G2) builds on it next. Uses the safe async API, never the OnCuda busy-wait/_exit path. Unit-tested (test_per_layer_transfer.py, 5 cases): one submit per non-empty layer, single wait-for-all, empty-layer skip, submit-failure drain + return -1, and wait-status propagation. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Where Should I Put My New Test?
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| 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.