FEAT: support qwen2vl run on ascend npu

[Xu-pixel]

只对代码做了小改动

支持的环境：
torch_npu-2.10.post8
pip install attr

安装cann否则有算子不支持：

# replace the url according to your CANN version and devices
# install CANN Toolkit
wget https://ascend-repo.obs.cn-east-2.myhuaweicloud.com/Milan-ASL/Milan-ASL%20V100R001C17SPC701/Ascend-cann-toolkit_8.0.RC1.alpha001_linux-"$(uname -i)".run
bash Ascend-cann-toolkit_8.0.RC1.alpha001_linux-"$(uname -i)".run --install

# install CANN Kernels
wget https://ascend-repo.obs.cn-east-2.myhuaweicloud.com/Milan-ASL/Milan-ASL%20V100R001C17SPC701/Ascend-cann-kernels-910b_8.0.RC1.alpha001_linux.run
bash Ascend-cann-kernels-910b_8.0.RC1.alpha001_linux.run --install

# set env variables
source /usr/local/Ascend/ascend-toolkit/set_env.sh

使用torch_npu-2.10.post8的原因是该版本支持了isin
https://gitee.com/ascend/pytorch/issues/I9JGYU

[qinxuye]

Before commit, you can run pre-commit install at xinference directory, when committing, code format e.g. black and flake8 will be done on your machine.

[Xu-pixel]

@qinxuye I'm sorry for ignoring this work. I will commit it as required later.

[qinxuye]

LGTM