[Feature] adapt to uva buffer and main2main (#6657)

### What this PR does / why we need it?
vllm model runner v2 use uva buffer to prepare input data, but npu
doesn't support uva yet, this pr implement a uvawrapper class to mimic
gpu's uva backend. what's more, this pr make some modifications to adapt
to the newer main branch.

### Does this PR introduce _any_ user-facing change?
no
### How was this patch tested?
- vLLM main:
13397841ab

---------

Signed-off-by: Ronald1995 <ronaldautomobile@163.com>
This commit is contained in:
Ronald
2026-02-12 10:36:31 +08:00
committed by GitHub
parent 56269eae0e
commit f1ffb5fb19
14 changed files with 407 additions and 179 deletions

View File

@@ -35,9 +35,14 @@ from vllm_ascend.worker.v2.utils import torch_cuda_wrapper
class AclGraphManager(CudaGraphManager):
"""ACL Graph Manager for Ascend NPUs."""
def __init__(self, vllm_config: VllmConfig, device: torch.device):
def __init__(
self,
vllm_config: VllmConfig,
use_mrope: bool,
device: torch.device,
):
with torch_cuda_wrapper():
super().__init__(vllm_config, device)
super().__init__(vllm_config, use_mrope, device)
def capture_graph(
self,