根据cuda-cudnn找对应版本 https://developer.nvidia.com/rdp/cudnn-archive cudnn-archive.png 1.进入下载好的文件目录,用命令解压: cp cudnn-9.0-linux-x64-v7.solitairetheme8 cudnn-9.0-linux-x64-v7.0.5.tgz tar -xvzf cudnn-9.2-linux-x64-v7.4.2.24.tgz 在解压后,得到的cuda目录下执行复制lib...
1. go tohttps://developer.nvidia.com/cudnn 2. download 3. install #方法一:我安装存在问题,不推荐 tar -xvf cudnn-linux-x86_64-8.x.x.x_cudaX.Y-archive.tar.xz cd cudnn-linux-x86_64-8.3.1.22_cuda11.5-archive sudo cp include/cudnn*.h /usr/local/cuda-11.5/include/ sudo cp -P l...
在虚拟环境中安装固定版本pip,即conda install pip==20.0,需要指定pip的版本,否则还是会默认安装最新版的pip,导致pip install还是安装到全局环境中。 亲测python -m pip install[package]没有用。原因是因为which python本身就在全局环境下,所以python -m pip install [package]依然在全局环境下。 1.3关闭虚拟环境 ...
https://developer.nvidia.com/rdp/cudnn-archive cudnn-archive.png 1.进入下载好的文件目录,用命令解压: 代码语言:javascript 复制 cp cudnn-9.0-linux-x64-v7.solitairetheme8 cudnn-9.0-linux-x64-v7.0.5.tgz tar-xvzf cudnn-9.2-linux-x64-v7.4.2.24.tgz 在解压后,得到的cuda目录下执行复制lib64...
Install and Test Tensorflow Using GPU: If you have installed the Cpu version of Tensorflow,use the command:pip uninstall tensorflow to uninstall it then using the command:pip install tensorflow-gpu 这里注意安装的tensorflow版本一定要和cuda-cudnn匹配,不然会报错!
pip install -i https://mirrors.bfsu.edu.cn/pypi/web/simple pytorch 设为默认方法1 升级 pip 到...
附录1.是否需要手动安装cuda和cudnn？进一步确认：可以看到用pip安装nvidia-tensorflow时，实际上已经安装了...
Hi I'm having a lot of problems getting AutoGPTQ compiled when using a Docker I've tried: RUN pip install auto-gptq==0.2.0 and RUN /bin/bash -o pipefail -c 'cd /root && \ git clone https://github.com/PanQiWei/AutoGPTQ && \ cd AutoGPTQ &&...
CUDA/cuDNN version No response GPU model and memory No response Current Behaviour? After installing tensorflow 2.11.0 on windows using poetry, importing tensorflow fails withModuleNotFoundError: No module named 'tensorflow'. You can see on thepypi page of 2.11that all the windows wheels are empt...
conda create -n py3env-gpu python=3.7 pip six numpy wheel mock 参考上述‘第一列: 在github这个项目里,whl安装包的路径’ Download tensorflow-gpu的whl file,from this github:https://github.com/fo40225/tensorflow-windows-wheel/tree/master/1.14.0/py37/GPU/cuda101cudnn76avx2 ...