[Perf] Delete redundant operations in model_runner and forward_context (#3677)

### What this PR does / why we need it?

Remove redundant operations from `model_runner` and `forward_context`.
This optimization can significantly reduce the idle time (bubble) before
decoding when running models with small parameter counts (e.g.,
Qwen/Qwen2.5-0.5B).

Testing on 800I A2, bubble is reduced from 3.8ms to 2.8ms :
Before
<img width="1655" height="696" alt="image"
src="https://github.com/user-attachments/assets/d7608e52-2438-46dd-8fc9-391fd6274495"
/>

After
<img width="1607" height="774" alt="image"
src="https://github.com/user-attachments/assets/56daf081-2dba-4d2e-99d4-e055187d9806"
/>

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?


- vLLM version: v0.11.0rc3
- vLLM main:
https://github.com/vllm-project/vllm/commit/releases/v0.11.1

---------

Signed-off-by: realliujiaxu <realliujiaxu@163.com>
This commit is contained in:
realliujiaxu
2025-10-29 15:59:55 +08:00
committed by GitHub
parent 0d1859af08
commit 74191864b7
5 changed files with 34 additions and 25 deletions

View File

@@ -58,6 +58,7 @@ _DEFAULT_BUFFER_SIZE = 200
_MIN_DP_BUFFER_SIZE = 50
_IS_MOE_MODEL = None
_ENABLE_SP = None
_HAS_LAYER_IDX = None
def is_310p():
@@ -807,3 +808,14 @@ def version_check():
if full_date >= "20250919":
return True
return False
def has_layer_idx(model_instance: torch.nn.Module) -> bool:
if model_instance is None:
return False
global _HAS_LAYER_IDX
if _HAS_LAYER_IDX is None:
_HAS_LAYER_IDX = hasattr(model_instance, "model") and \
hasattr(model_instance.model, "start_layer")
return _HAS_LAYER_IDX