记录一下安装适用于intel 显卡的torch

 支持的硬件和驱动如下

按照表格安装好驱动。

 使用conda创建好虚拟环境（Python 3.9, 3.10, 3.11, 3.12, 3.13.）后，我的显卡是arc A580

# For hardware listed in the table above, other than Intel® Core™ Ultra Series 2 Mobile Processors (Arrow Lake-H), use the commands below:
python -m pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/xpu
python -m pip install intel-extension-for-pytorch==2.6.10+xpu --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/cn/

# For Intel® Core™ Ultra Series 2 Mobile Processors (Arrow Lake-H), use the commands below:
python -m pip install torch==2.6.0.post0+xpu torchvision==0.21.0.post0+xpu torchaudio==2.6.0.post0+xpu --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/arl/cn/
python -m pip install intel-extension-for-pytorch==2.6.10+xpu --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/arl/cn/

选择上面的两行命令执行，第二行命令运行完会有报错

大概长这样

torch 2.6.0+xpu requires intel-cmplr-lib-rt==2025.0.2, but you have intel-cmplr-lib-rt 2025.0.4 which is incompatible.
torch 2.6.0+xpu requires intel-cmplr-lib-ur==2025.0.2, but you have intel-cmplr-lib-ur 2025.0.4 which is incompatible.
torch 2.6.0+xpu requires intel-cmplr-lic-rt==2025.0.2, but you have intel-cmplr-lic-rt 2025.0.4 which is incompatible.
torch 2.6.0+xpu requires intel-sycl-rt==2025.0.2, but you have intel-sycl-rt 2025.0.4 which is incompatible.

intel给的原因和解决方法，直接忽略

 尝试运行一下

import torchprint(torch.xpu.get_device_name())
print(torch.__version__)

运行结果