The NVIDIA driver on your system is too old
The NVIDIA driver on your system is too old
报错代码：
import torchdef _check_driver():if not hasattr(torch._C, '_cuda_isDriverSufficient'):raise AssertionError("Torch not compiled with CUDA enabled")if not torch._C._cuda_isDriverSufficient():if torch._C._cuda_getDriverVersion() == 0:# found no NVIDIA driver on the systemraise AssertionError("""
Found no NVIDIA driver on your system. Please check that you
have an NVIDIA GPU and installed a driver from
http://www.nvidia.com/Download/index.aspx""")else:# TODO: directly link to the alternative bin that needs installraise AssertionError("""
The NVIDIA driver on your system is too old (found version {}).
Please update your GPU driver by downloading and installing a new
version from the URL: http://www.nvidia.com/Download/index.asThe NVIDIA driver on your system is too old相关推荐
- 成功解决The NVIDIA driver on your system is too old (found version 9010). Please update your GPU driver
成功解决The NVIDIA driver on your system is too old (found version 9010). Please update your GPU driver ...
- The NVIDIA driver on your system is too old问题解决办法
问题: The NVIDIA driver on your system is too old (found version 9000). Please update your GPU driver ...
- The NVIDIA driver on your system is too old (found version 10000). Please update your GPU driver by
如果你正确的安装了torch和CUDA之间的对应关系,那么此时应该是你的显卡驱动太老,此时使用鲁大师驱动检测,升级显卡的版本 重启后便可以成功. 产生这个问题的原因是:显卡驱动版本和cuda版本不适合 ...
- CUDA 并行计算 机器学习 NVCC CUDNN CUDATOOLKIT CUDA DRIVER 显卡驱动(NVIDIA Driver) 显卡(GPU)
微信公众号: 点击蓝色字体小白图像与视觉进行关注 关于技术.关注yysilence00.有问题或建议,请公众号留言 整理知识,学习笔记 发布日记,杂文,所见所想 CUDA 并行计算 机器学习 NVCC ...
- windows10 查看 nvidia driver cuda 版本
windows10 查看 nvidia driver cuda 版本 确定安装了nvidia的显卡和显卡驱动 cmd进入终端 命令 nvidia-smi
- 无法连接NVIDIA驱动：NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver
NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver 重启服务器之后就出现连接不上NVIDIA驱动的 ...
- 和smi_nvidia-smi 报错：无法与 nvidia driver 通信
用 GPU 跑模型时,提示 cuda 不存在,明明已经装过!不会 nvidia 驱动又崩了吧!赶紧用 nvidia-smi 查看一下,提示如下错误: NVIDIA-SMI has failed bec ...
- nvidia-smi命令显示NVIDIA-SMI has failed because it couldn‘t communicate with the NVIDIA driver
1.在aicloud虚拟机查看硬件信息,显示共0B,剩0B. 从这里可以看出,能找到硬件设备,但无法正确读取硬件相关信息,即证明驱动问题导致的. 2.nvidia-smi NVIDIA-SMI has ...
- 无法连接NVIDIA驱动：NVIDIA-SMI has failed because it couldn’t communicate with the NVIDIA driver
1. 问题 今天正要用GPU跑代码的时候,发现cuda不可用,然后在终端执行nvidia-smi发现无法连接NVIDIA驱动,问题如下: NVIDIA-SMI has failed because i ...
最新文章
- keepalived_nginx实现discuz负载均衡和高可用
- oracle dataguard
- python趣味编程10例-达人迷 Python趣味编程10例
- index.html文件作用,MEAN JS – 主要的html文件(index.html)位于何处
- 手机音频通道被占用_关于凯叔讲故事APP的音频导出下载
- Windows10配置maven环境变量(图文教程）
- Centos防火墙添加IP白名单
- foxmai邮件服务器pop,常见pop和stmp服务器地址-foxmail6或outlook邮件管理
- 状压（广场铺转，拉灯游戏）
- python菱形继承参数问题_菱形继承问题
- 头歌--Java面向对象 - String类
- mooc-人工智能与信息社会-基于决策树和搜索的智能系统（上）
- 多算科技的报表工具BI-山海鲸可视化
- 继续:个人微信的自动收款解决(思路)
- C语言学习2：Hello World！详解
- 看不到 虚拟打印机 adobe pdf printer
- qt样式表设置边框_QT样式表
- Xilinx ISE、Synplify、Modelsim之间的关系，为什么会存在比ISE更专业的FPGA开发工具？
- c语言break在if中用法,break可用于什么语句 break语句可用于for语句和if语句中 对吗...
- 如何用更好的数据管理去挖掘大数据的商业价值