Ubuntu卸载cuda10.0

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(), &algorithms)