gcc version 11.4.0 (Ubuntu 11.4.0-1ubuntu1~22.04) 查看系统支持的gcc版本 docs.nvidia.com/cuda/cu 选择对应的安装cuda命令 developer.nvidia.com/cu 下载安装文件 wget https://developer.download.nvidia.com/compute/cuda/12.2.0/local_in
tar -xvf cudnn-linux-x86_64-8.9.6.50_cuda12-archive.tar.xz 解压后进到该解压后的目录里面: cd cudnn-linux-x86_64-8.9.6.50_cuda12-archive 输入以下命令 cd cudnn sudo cp include/cudnn*.h /usr/local/cuda/include sudo cp lib/libcudnn* /usr/local/cuda/lib64 sudo chmod a+r /usr/local...
/bin/sh#Please input version to installDRIVER_VERSION="535.154.05" CUDA_VERSION="12.1.1" CUDNN_VERSION="8.9.7.29" IS_INSTALL_eRDMA="FALSE" IS_INSTALL_RDMA="FALSE" INSTALL_DIR="/root/auto_install"#using .run to install driver and cudaauto_install_script="auto_...
echo'export PATH=/usr/local/cuda/bin:/usr/local/cuda-12.1/bin${PATH:+:${PATH}}'>>~/.bashrcecho'export LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/cuda-12.1/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}'>>~/.bashrcecho'export CUDA_HOME=/usr/local/cuda'>>~/.bashrc 将CUD...
CUDA runtime version: 12.2.140 CUDA_MODULE_LOADINGsetto: EAGER GPU models and configuration: GPU 0: NVIDIA H100 PCIe Nvidia driver version: 535.104.12 cuDNN version: Could not collect HIP runtime version: N/A MIOpen runtime version: N/A ...
🐛 Describe the bug The same training code is adapted to both GPU and CPU, and the GPU loss value oscillates back and forth at 0.2. The trained model results have the same score as above, and the learning rate has been adjusted for other ...
b) 检查自己的Linux版本是否支持 CUDA(Ubuntu 14.04没问题) c) 检查自己的系统中是否装了gcc 在终端中输入:gcc --version可以查看自己的gcc版本信息(英文输入法下的-) 没有的话可以通过 sudo apt-get install gcc安装。 d) 检查是否安装了kernel header和 package development ...
1.1 CUDA runtime version 1.2 CUDA driver version 2. 安装PyTorch 2.1 去pytorch官网下载指定版本的pytorch 2.2 添加清华通道 2.3 安装 1. 查看CUDA的版本 CUDA有两个主要API,即运行时API和驱动程序API。两者都有对应的版本。 对驱动程序API的必要支持由GPU驱动程序安装程序安装。
在安装时会同时安装CUDA Toolkit以及PyTorch,这是我们要知道的。 步骤一: 使用nvidia-smi查询驱动版本: 如图中Driver Version所示,该卡目前的驱动版本为384.81。 步骤二:此处提供三种方法可供选择。 (1)指定CUDA Toolkit版本(推荐) 根据表一查询到可安装的CUDA Toolkit版本,384.81对应最高的CUDA Toolkit版本为9.0。
local/lib/python3.6/site-packages/torch/cuda/__init__.py:80: UserWarning: CUDA initialization: The NVIDIA driver on your system is too old (found version 10010). Please update your GPU driver by downloading and installing a new version from the URL: http://www.nvidia.com/Download/index....