- 驱动的版本,参考:https://docs.nvidia.com/cuda/cuda-toolkit-release-notes/index.html Table 1. CUDA Toolkit and Compatible Driver Versions Google一下发现是tensorflow1.5.0版本只支持cuda9.0 I downgrade to tensorflow version 1.4.0 and keras version 2.0.8. 否则版本运行有错: https://github.com/ke...
主要看更新的tf-GPU版本与cuda和cudnn版本是否匹配，一般情况下要谨慎更新。目前我通过Python虚拟环境同时...
To install the current release, which includes support forCUDA-enabled GPU cards(Ubuntu and Windows): $ pip install tensorflow Other devices (DirectX and MacOS-metal) are supported usingDevice plugins. A smaller CPU-only package is also available: ...
3、服务器要GPU训练,tensorflow、CUDA和Driver Version如何对应 (1) 服务器命令nvidia-smi看服务器的硬件版本,这里的CUDA是可以支持的最大版本,并不是已经装好了CUDA (2)官网https://docs.nvidia.com/cuda/cuda-toolkit-release-notes/index.html里的table3有cuda和驱动程序的对应关系 我们服务器是470.86,就没法装...
3.CUDA10.0 下载地址:https://developer.nvidia.com/cuda-10.0-download-archive?target_os=Windows&target_arch=x86_64&target_version=10&target_type=exelocal 现在说只有基础包,没有补丁,下载基础包安装就好了。 ·安装的时候出现选择里边,驱动和pyhsx不是必须的(前提是如果你已经安装了比安装提示更新版本的驱动...
根据:https://docs.nvidia.com/cuda/cuda-toolkit-release-notes/index.html#cuda-general-new-features 1.1 下载GTX960M对应的安装程序 https://www.nvidia.cn/geforce/drivers/ 1.2 安装 1.3 更新驱动 1.4 查看对应cuda版本 二、查看tensorflow、python、cuda、cudnn版本对应关系: ...
Hi @sushreebarsa according the compatibility table, all the tensorflow doesnot support cuda11.3 since the latest supported version is cuda 11.2.ngam commented Feb 17, 2022 • edited @MinWang1997 anything compiled with cuda=11.2 should work with anything cuda>=11.2, see more here : https:/...
cat/proc/driver/nvidia/version 查看cudnn版本 cat/usr/local/cuda/include/cudnn.h | grep CUDNN_MAJOR -A 2 3.安装显卡驱动 如果尚未安装显卡驱动,则进行安装 如果需要卸载旧版本的显卡驱动,采用以下命令 sudo apt-getremove--purge nvidia* 此外,安装之前,需要先禁用一个东西nouveau ...
Table 1. TensorFlow compatibility with NVIDIA containers and Jetpack TensorFlow VersionNVIDIA Framework ContainerNVIDIA Framework Wheel JetPack Version 2.17.0 24.12, 24.11, 24.10, 24.09 24.09 6.1 2.16.1 24.07, 24.06 24.07, 24.06 6.0 2.15.0 24.05 24.05 24.04, 24.03, 24.02 24.04, 24.03, 24.02 6.0...
python并行编程用cuda还是tensorflow比较好 python gpu并行编程,目录一、大数据时代的现状二、面对挑战的方法2.1并行计算2.2改用GPU处理计算密集型程序3.3分布式计算三、用python写并行程序3.1进程与线程3.2全局解释器锁GIL:3.3multiprocessing四、multiprocessing实战总