当你遇到错误 "e: unable to locate package cudnn" 时,这通常意味着你的系统无法在其软件包仓库中找到名为 cudnn 的包。这通常发生在尝试通过包管理器(如 apt)在Linux系统上安装NVIDIA cuDNN库时。以下是一些步骤来帮助你解决这个问题: 确认操作系统及其版本: 确保你正在使用的Linux发行版和版本支持通过包管...
https://developer.nvidia.com/cuda-toolkit-archive 1,2,3,4依次执行。 E: Unable to locate package cuda 修改...list文件 成功了 sudo vi /etc/apt/sources.list.d/cuda-10-0-local-10.0.130-410.48.list 去掉文件中的# $sudo apt-get update $sudo apt intsall cuda 好了。 cudnn https://develop...
Describe the bug E: Unable to locate package libcudnn8 To Reproduce Linux Ubuntu 20.04.5 LTS Pytorch 1.11 Installation below NVIDIA Driver 525.105.17 CUDA 12.0 dora-rs 0.2.2 Installation below Screenshots or Video
When installing the package using peotry on a device that does not have cuda installed I get the error: Unable to find installation candidates for nvidia-cudnn-cu11 since the package works on CPU as well is it possible to fix this install issue so that i don't have to have a gpu enab...
I am converting my matlab code to CUDA code but getting following error. Please help me how to find 'NVIDIA_CUDNN' environment variable and then Set 'NVIDIA_CUDNN' to point to the root directory of a NVIDIA cuDNN installation. Your help will be highly appreciated. ...
tensorflow提示缺少cudnn64_7.dll,解决思路:下载一个https://developer.nvidia.com/rdp/cudnn-download#下载后的压缩包有三个文件把三个文件添加到对应的地方即可
https://discuss.pytorch.org/t/runtimeerror-get-was-unable-to-find-an-engine-to-execute-this-computation/193625/3 总结来说,这个问题的出现是因为NVIDIA驱动版本过低了,一般是因为你选择使用了最新的版本的pytorch,因而使用配套的cuda和cudnn需要更高的版本的NVIDIA驱动(假设你使用conda安装pytorch,因此cuda和cu...
you would see it listed there. However, if CUDA was installed system-wide and not specifically within the Conda environment, you might need to locate it using standard system paths or the method corresponding to your OS (like checking/usr/local/cudafor Linux or using the NVIDIA Control Panel...
TensorRT Version: 8.6.1 NVIDIA GPU: GTX 1660 Ti NVIDIA Driver Version: 546.01 CUDA Version: 12.1 CUDNN Version: 8.9.7 Operating System: Windows 10 Python Version (if applicable): 3.10.13 PyTorch Version (if applicable): 2.1.2+cu121