cuda11.7和pytorch版本对应

根据引用中提到的网址链接https://docs.nvidia.com/cuda/cuda-toolkit-release-notes/index.html，我们可以查看驱动与CUDA版本的对应关系。根据该链接的信息，CUDA 11.7需要匹配的驱动版本为465.19.01或更高版本。而根据引用中的安装命令，我们可以看到该命令安装的是CUDA 11.6版本的PyTorch。因此，CUDA 11.7和PyTorch版本的对应关系是，目前还没有官方发布的PyTorch版本支持CUDA 11.7。建议在安装时选择与CUDA版本匹配的PyTorch版本。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* [win10+pytorch+cuda11.7](https://blog.csdn.net/m0_57752511/article/details/128379688)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
- *2* *3* [【无标题】cuda11.7+python3.7+pytorch GPU](https://blog.csdn.net/qq_43206709/article/details/126601453)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
[ .reference_list ]