运行deepseekvl报错

[learn01one]

/.cache/_github/DeepSeek-VL2/deepseek_vl2/models/siglip_vit.py", line 16, in
from xformers.ops import memory_efficient_attention
ModuleNotFoundError: No module named 'xformers'

transformers 4.38.2
transformers-stream-generator 0.0.5
triton 2.0.0
typer 0.15.1
typing_extensions 4.12.2
tzdata 2025.1
urllib3 2.3.0
uvicorn 0.34.0
websockets 14.2
Werkzeug 3.1.3
wheel 0.45.1
xformers 0.0.21
xxhash 3.5.0
yarl 1.18.3
zipp 3.21.0
zstandard 0.23.0

xformers 0.0.21明明安装了

[Jintao-Huang]

flash-attn安装了么

[Jintao-Huang]

https://github.com/Dao-AILab/flash-attention/releases

[learn01one]

https://github.com/Dao-AILab/flash-attention/releases

安装了额，

absl-py 2.1.0
accelerate 1.3.0
addict 2.4.0
aiofiles 23.2.1
aiohappyeyeballs 2.4.6
aiohttp 3.11.12
aiosignal 1.3.2
aliyun-python-sdk-core 2.16.0
aliyun-python-sdk-kms 2.16.5
annotated-types 0.7.0
anyio 4.8.0
async-timeout 5.0.1
attrdict 2.0.1
attrs 25.1.0
binpacking 1.5.2
certifi 2025.1.31
cffi 1.17.1
charset-normalizer 3.4.1
click 8.1.8
cmake 3.31.4
contourpy 1.3.1
cpm-kernels 1.0.11
crcmod 1.7
cryptography 44.0.0
cycler 0.12.1
dacite 1.9.2
datasets 3.2.0
deepseek_vl2 1.0.0 /ms-swift/DeepSeek-VL2
dill 0.3.8
distro 1.9.0
einops 0.8.1
exceptiongroup 1.2.2
fastapi 0.115.8
ffmpy 0.5.0
filelock 3.17.0
flash-attn 2.6.3
fonttools 4.56.0
frozenlist 1.5.0
fsspec 2024.9.0
future 1.0.0
gradio 5.15.0
gradio_client 1.7.0
grpcio 1.70.0
h11 0.14.0
httpcore 1.0.7
httpx 0.28.1
huggingface-hub 0.28.1
idna 3.10
importlib_metadata 8.6.1
jieba 0.42.1
Jinja2 3.1.5
jiter 0.8.2
jmespath 0.10.0
joblib 1.4.2
kiwisolver 1.4.8
lit 18.1.8
Markdown 3.7
markdown-it-py 3.0.0
MarkupSafe 2.1.5
matplotlib 3.10.0
mdurl 0.1.2
modelscope 1.22.3
mpmath 1.3.0
ms-swift 3.1.0.dev0 /ms-swift
multidict 6.1.0
multiprocess 0.70.16
networkx 3.4.2
nltk 3.9.1
numpy 1.26.4
nvidia-cublas-cu11 11.10.3.66
nvidia-cublas-cu12 12.1.3.1
nvidia-cuda-cupti-cu11 11.7.101
nvidia-cuda-cupti-cu12 12.1.105
nvidia-cuda-nvrtc-cu11 11.7.99
nvidia-cuda-nvrtc-cu12 12.1.105
nvidia-cuda-runtime-cu11 11.7.99
nvidia-cuda-runtime-cu12 12.1.105
nvidia-cudnn-cu11 8.5.0.96
nvidia-cudnn-cu12 8.9.2.26
nvidia-cufft-cu11 10.9.0.58
nvidia-cufft-cu12 11.0.2.54
nvidia-curand-cu11 10.2.10.91
nvidia-curand-cu12 10.3.2.106
nvidia-cusolver-cu11 11.4.0.1
nvidia-cusolver-cu12 11.4.5.107
nvidia-cusparse-cu11 11.7.4.91
nvidia-cusparse-cu12 12.1.0.106
nvidia-cusparselt-cu12 0.6.2
nvidia-nccl-cu11 2.14.3
nvidia-nccl-cu12 2.20.5
nvidia-nvjitlink-cu12 12.4.127
nvidia-nvtx-cu11 11.7.91
nvidia-nvtx-cu12 12.1.105
openai 1.61.1
orjson 3.10.15
oss2 2.19.1
packaging 24.2
pandas 2.2.3
peft 0.14.0
pillow 11.1.0
pip 25.0.1
propcache 0.2.1
protobuf 5.29.3
psutil 6.1.1
pyarrow 19.0.0
pycparser 2.22
pycryptodome 3.21.0
pydantic 2.10.6
pydantic_core 2.27.2
pydub 0.25.1
Pygments 2.19.1
pyparsing 3.2.1
python-dateutil 2.9.0.post0
python-multipart 0.0.20
pytz 2025.1
PyYAML 6.0.2
regex 2024.11.6
requests 2.32.3
rich 13.9.4
rouge 1.0.1
ruff 0.9.6
safehttpx 0.1.6
safetensors 0.5.2
scipy 1.15.1
semantic-version 2.10.0
sentencepiece 0.2.0
setuptools 69.5.1
shellingham 1.5.4
simplejson 3.19.3
six 1.17.0
sniffio 1.3.1
sortedcontainers 2.4.0
starlette 0.45.3
sympy 1.13.1
tensorboard 2.18.0
tensorboard-data-server 0.7.2
tiktoken 0.8.0
timm 1.0.14
tokenizers 0.15.2
tomlkit 0.13.2
torch 2.0.1
torchvision 0.15.2
tqdm 4.67.1
transformers 4.38.2
transformers-stream-generator 0.0.5
triton 2.0.0
typer 0.15.1
typing_extensions 4.12.2
tzdata 2025.1
urllib3 2.3.0
uvicorn 0.34.0
websockets 14.2
Werkzeug 3.1.3
wheel 0.45.1
xformers 0.0.22
xxhash 3.5.0
yarl 1.18.3
zipp 3.21.0
zstandard 0.23.0

同样的环境，运行
$CUDA_VISIBLE_DEVICES=0 swift infer --model_type qwen2_5_vl --model /model/Qwen/Qwen2___5-VL-3B-Instruct 没问题

运行
CUDA_VISIBLE_DEVICES=0 swift infer --model_type deepseek_vl2 --model /model_deepseekvl/deepseek-ai/deepseek-vl2-tiny 就报错

from xformers.ops import memory_efficient_attention
ModuleNotFoundError: No module named 'xformers'