C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.3

引用和表明，用户之前将CUDA Toolkit的自定义目录设置为了错误的路径，并在打开文件位置后发现了错误，并需要将其设置为正确的路径。
然而，引用显示了编译DCNv2网络时的错误信息，其中包含了关于CUDA版本的信息。
根据引用和中提到的信息，用户希望将CUDA Toolkit的自定义目录设置为C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.3。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* *3* [错误 1 error MSB3721: 命令““C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.0\bin\nvcc.exe”...](https://blog.csdn.net/qq_42434171/article/details/119854422)[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%"]
- *2* [编译DCNv2网络：error: command 'C:\\Program Files\\NVIDIAGPUComputingToolkit\\CUDA\\v1](https://download.csdn.net/download/weixin_42398658/13129855)[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%"]
[ .reference_list ]