cudatoolkit11.3安装

根据引用内容，cudatoolkit11.3可以通过在conda虚拟环境中使用conda命令进行安装。在安装过程中，可以使用以下命令安装相应的软件包：

pip install torch==1.12.1 cu113 torchvision==0.13.1 cu113 torchaudio==0.12.1 --extra-index-url https://download.pytorch.org/whl/cu113

另外，也可以在PyTorch官方网站上查看适用于cudatoolkit11.3的版本，并通过以下命令进行安装：

pip3 install torch==1.10.2 cu113 torchvision==0.11.3 cu113 torchaudio===0.10.2 cu113 -f https://download.pytorch.org/whl/cu113/torch_stable.html

以上是两种不同的安装方式，选择其中一种即可完成cudatoolkit11.3的安装。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* *2* [cuda11.3 安装](https://blog.csdn.net/Z_zfer/article/details/128978110)[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^v93^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
- *3* [cuda11.3安装+cudnn11.3安装+torch1.10.2安装+torchvision0.11.3下载](https://blog.csdn.net/qq_40994007/article/details/123258794)[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^v93^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
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