使用 Ubuntu 18.04 进行深度学习,但当我训练模型并尝试下载一些 Python 包时,它总是显示没有空间。我遵循了一些建议,df -h
这就是它显示的内容。
总是显示/dev/nvme0n1p8
有 19G 并且已用完,这是导致问题的原因吗?还有 nvme0n1p8 和 nvme0n1p7 有什么区别,为什么空间分布如此不均匀?刚接触这个文件系统,所以现在还很模糊。
Filesystem Size Used Avail Use% Mounted on
udev 16G 0 16G 0% /dev
tmpfs 3.2G 1.8M 3.2G 1% /run
/dev/nvme0n1p8 19G 19G 0 100% /
tmpfs 16G 4.0K 16G 1% /dev/shm
tmpfs 5.0M 4.0K 5.0M 1% /run/lock
tmpfs 16G 0 16G 0% /sys/fs/cgroup
/dev/loop1 3.8M 3.8M 0 100% /snap/gnome-system-monitor/111
/dev/loop3 45M 45M 0 100% /snap/gtk-common-themes/1353
/dev/loop2 90M 90M 0 100% /snap/core/8268
/dev/loop4 3.8M 3.8M 0 100% /snap/gnome-system-monitor/100
/dev/loop6 55M 55M 0 100% /snap/core18/1066
/dev/loop5 1.0M 1.0M 0 100% /snap/gnome-logs/61
/dev/loop0 15M 15M 0 100% /snap/gnome-characters/296
/dev/loop7 157M 157M 0 100% /snap/gnome-3-28-1804/110
/dev/loop8 15M 15M 0 100% /snap/gnome-characters/367
/dev/loop9 4.3M 4.3M 0 100% /snap/gnome-calculator/544
/dev/loop10 55M 55M 0 100% /snap/core18/1279
/dev/loop11 4.2M 4.2M 0 100% /snap/gnome-calculator/406
/dev/loop12 150M 150M 0 100% /snap/gnome-3-28-1804/67
/dev/loop14 1.0M 1.0M 0 100% /snap/gnome-logs/81
/dev/loop13 90M 90M 0 100% /snap/core/8213
/dev/loop15 43M 43M 0 100% /snap/gtk-common-themes/1313
tmpfs 3.2G 40K 3.2G 1% /run/user/1000
/dev/nvme0n1p7 173G 23G 141G 14% /media/platinum/7f503035-20b1-4d19-9fb3-90eab40a784d
total 246G 42G 195G 18% -