问题描述
我正在处理70gb的数据集
I am working on a Dataset of 70gb
更早使用df -BG
命令
我被显示了
Filesystem 1G-blocks Used Available Use% Mounted on
overlay 359G 6G 335G 2% /
tmpfs 7G 0G 7G 0% /dev
tmpfs 7G 0G 7G 0% /sys/fs/cgroup
/dev/root 2G 1G 1G 44% /opt/bin
tmpfs 7G 1G 7G 4% /usr/lib64-nvidia
/dev/sda1 365G 8G 358G 3% /etc/hosts
shm 1G 0G 1G 0% /dev/shm
tmpfs 7G 0G 7G 0% /sys/firmware
突然,现在它已更改为
Filesystem 1G-blocks Used Available Use% Mounted on
overlay 40G 5G 33G 14% /
tmpfs 7G 0G 7G 0% /dev
tmpfs 7G 0G 7G 0% /sys/fs/cgroup
/dev/sda1 46G 40G 6G 88% /etc/hosts
shm 1G 0G 1G 0% /dev/shm
tmpfs 7G 0G 7G 0% /sys/firmware
有人可以提出任何可能的方法来制造具有300Gbs以上可用容量的新笔记本电脑,或者是否可以返回到以前的状态.
Can someone suggest any possible way to make a new Notebook with more than 300Gbs Available or any possible way to go back to previous state.
推荐答案
我遇到了同样的问题.我不确定这是否是解决方案,因为我尚未对其进行彻底的测试,但是[Python 2/No GPU]和[Python 3/No GPU]运行时似乎只有40GB的存储空间,而[Python 3/GPU]运行时具有359GB的存储空间.
I had the same problem. I am not sure this is a solution since I haven't tested it thoroughly, but it seems like the [Python 2 / No GPU] and [Python 3 / No GPU] runtimes have only 40GB of storage, whereas the [Python 3 / GPU] runtime has 359GB of storage.
通过转到运行时">更改运行时类型",尝试将笔记本运行时类型更改为[Python 3/GPU].希望对您有帮助!
Try changing your notebook runtime type to [Python 3 / GPU] by going to "Runtime" > "Change runtime type". Hope it helps!
这篇关于如何增加Google Colab的存储空间的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持!