Ubuntu卸载cuda10.0

待我称王封你为后i 2021-12-03 05:47 517阅读 0赞

Ubuntu 当初同时按照了 cuda9.0 和 cuda10.0，但因为是安装的是双系统windows10 + Ubuntu16.04,在C盘分割了 40G个给Ubuntu，安装2个cuda太过占存储空间,/dev/sda6 use%已经到90%多，需要删除一个多余的cuda10.0.

wu@wu-X555LF:~$`cd /usr/local/cuda/bin`

wu@wu-X555LF:/usr/local/cuda-10.0/bin$  `sudo uninstall_cuda_10.0.pl`

sudo: uninstall\_cuda\_10.0.pl: command not found

在`/usr/local/cuda/bin` 目录下,有`cuda` 自带的卸载工具`uninstall_cuda_10.0.pl`

1.  `cd /usr/local/cuda/bin`
2.  `sudo ./uninstall_cuda_10.0.pl`

删除完cuda10.0，通过df -h查挂载情况：

wu@wu-X555LF:/usr/local/cuda-10.0/bin$ df -h  
Filesystem      Size  Used Avail Use% Mounted on  
udev            5.8G     0  5.8G   0% /dev  
tmpfs           1.2G  9.4M  1.2G   1% /run  
/dev/sda6        19G   14G  4.3G  76% /  
tmpfs           5.9G   37M  5.8G   1% /dev/shm  
tmpfs           5.0M  4.0K  5.0M   1% /run/lock  
tmpfs           5.9G     0  5.9G   0% /sys/fs/cgroup  
/dev/sda8       9.1G  5.8G  2.9G  68% /home  
/dev/sdb1       256M   31M  226M  12% /boot/efi  
tmpfs           1.2G   80K  1.2G   1% /run/user/1000  
/dev/sda2       100G   77G   23G  78% /media/wu/22FC52F5FC52C329

执行情况，Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA，还是出现问题：

wu@wu-X555LF:~/YOLOv3\_TensorFlow-master$ python test\_single\_image.py ./data/demo\_data/messi.jpg  
2019-07-20 22:55:38.464088: I tensorflow/core/platform/cpu\_feature\_guard.cc:140\] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA  
2019-07-20 22:55:38.587955: I tensorflow/stream\_executor/cuda/cuda\_gpu\_executor.cc:898\] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero  
2019-07-20 22:55:38.588425: I tensorflow/core/common\_runtime/gpu/gpu\_device.cc:1212\] Found device 0 with properties:  
name: GeForce 930M major: 5 minor: 0 memoryClockRate(GHz): 0.941  
pciBusID: 0000:04:00.0  
totalMemory: 1.96GiB freeMemory: 1.82GiB  
2019-07-20 22:55:38.588448: I tensorflow/core/common\_runtime/gpu/gpu\_device.cc:1312\] Adding visible gpu devices: 0  
2019-07-20 22:55:40.336327: I tensorflow/core/common\_runtime/gpu/gpu\_device.cc:993\] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 1588 MB memory) -> physical GPU (device: 0, name: GeForce 930M, pci bus id: 0000:04:00.0, compute capability: 5.0)  
2019-07-20 22:55:50.530431: E tensorflow/stream\_executor/cuda/cuda\_dnn.cc:378\] Loaded runtime CuDNN library: 7500 (compatibility version 7500) but source was compiled with 7004 (compatibility version 7000).  If using a binary install, upgrade your CuDNN library to match.  If building from sources, make sure the library loaded at runtime matches a compatible version specified during compile configuration.  
2019-07-20 22:55:50.531361: F tensorflow/core/kernels/conv\_ops.cc:717\] Check failed: stream->parent()->GetConvolveAlgorithms( conv\_parameters.ShouldIncludeWinogradNonfusedAlgo<T>(), &algorithms)