你可以访问以下链接,根据你的 TensorFlow 和 PyTorch 版本找到相应的 CUDA 和 CuDNN 版本: [TensorFlow CUDA Compatibility]( [PyTorch CUDA Compatibility]( 4. 安装适当版本的 CUDA 和 CuDNN 根据官方文档所提供的对应版本,下载合适的 CUDA 和 CuDNN 版本。 访问[NVIDIA CUDA Toolkit]( 下载 CUDA。 下载相应版...
2、在Unix Drivers | NVIDIA中可看到官方对不同驱动版本的描述 : 3、CUDA Compatibility页面中包含 CUDA Toolkit 、显卡与驱动版本兼容情况的详细描述: 4、在 CUDA Toolkit 下载页面选择 runfile (local) 时可以看到更具体的驱动版本号,比如下图中 cuda 9.2.148 对应的就是 396.37 版本的驱动: runfile (local) ...
Toolkit: Installation Failed. Using unsupported Compiler. Samples: Installation Failed Logfile is /tmp/cuda_install_3400.log " I ran the installation again with “–override”. And faced the same error with tensorflow-gpu I installed the gcc-6 compiler from the repo using the command: sudo apt...
显卡GTX 1660对应的CUDA版本为CUDA 10.1,可以选低一个版本,如CUDA 10.0 下载CUDA Toolkit 安装,环境变量自动配上 命令行输入nvcc -V 三、cuDNN 根据CUDA版本下载cuDNN(需登录),关键是CUDA版本,cuDNN版本选新的 下载得到压缩包,解压后将三个文件夹粘贴到CUDA 四、tensorflow-gpu 查看版本:右上角Language设为Engli...
CUDA Compatibilitydocs.nvidia.com/deploy/cuda-compatibility/index.html#binary-compatibility__table-toolkit-driver 因此,我找到了nvidia-384对应的CUDA版本:CUDA 9.0 (9.0.76) 使用如下命令对CUDA进行降级即可解决问题: conda install cudatoolkit=9.0 tensorflow-gpu 有时,你需要的cudatoolkit在默认channel里可能...
So, because hex-packages depends on both jax[cuda12] (0.4.23) and tensorflow[and-cuda] (2.15.0), version solving failed. and none of thejax[cuda12]versions with GPU compatibility supportnvidia-nccl-cu12=2.16.5; does this requirement need to be hard or can it be looser to accomodate ...
for supported versions, see the framework containers support matrix and the nvidia container toolkit documentation . no other installation, compilation, or dependency management is required. it is not necessary to install the nvidia cuda toolkit. running tensorflow using docker to run a container, ...
I'm not entirely sure where theCUDA Version: 11.2comes from, it must have been installed when I installed the driver from the nvidia ppa. The environment I have working was built by installingcudatoolkitfrom conda with:conda install -c nvidia cudatoolkit=11.0(the pytorch conda channel will pr...
Container VersionUbuntuCUDA ToolkitTensorFlowTensorRT 22.03 20.04 NVIDIA CUDA 11.6.1 2.8.0 1.15.5 TensorRT 8.2.3 22.02 NVIDIA CUDA 11.6.0 2.7.0 1.15.5 TensorRT 8.2.3 22.01 TensorRT 8.2.2 21.12 NVIDIA CUDA 11.5.0 2.6.2 1.15.5 TensorRT 8.2.1.8 21.11 2.6.0 1.15.5 TensorRT 8.0.3.4 ...
看样子是我还没有安装好cuda所致。步骤5中下载Cuda Toolkit 太慢了,需要10个小时,还是直接在线安装吧,先下载这个,然后 dpkg -i cuda-repo-ubuntu1410_7.0-28_amd64.deb apt-get update apt-get install cuda 1. 2. 3. 这个只需要20分钟左右。安装好过后cuda应该就在/usr/local/路径下了。然后安装CUDNN ...