使用说明
费用说明
取决于使用什么机器配置。大概是 70 块 100 unit。
然后 A100 的话，大概是 13 unit/h 。所以基本上等同于 70 块 = 8h
还是蛮贵的。
好处是
加载云盘
from google.colab import drive
drive.mount('/content/drive')
如果中间遇到 “Transport endpoint is not connected”
可以通过以下代码重连
from google.colab import drive
drive.mount('/content/drive')!fusermount -u drive
!google-drive-ocamlfuse drive内存查看
from psutil import virtual_memory
ram_gb = virtual_memory().total / 1e9
print('Your runtime has {:.1f} gigabytes of available RAM\n'.format(ram_gb))
if ram_gb < 20:
print('Not using a high-RAM runtime')
else:
print('You are using a high-RAM runtime!')
显卡查看
gpu_info = !nvidia-smi
gpu_info = '\n'.join(gpu_info)
if gpu_info.find('failed') >= 0:
print('Not connected to a GPU')
else:
print(gpu_info)
System aliases
Jupyter includes shortcuts for common operations, such as ls:
!ls /bin
That !ls probably generated a large output. You can select the cell and clear the output by either:
- Clicking on the clear output button (x) in the toolbar above the cell; or
- Right clicking the left gutter of the output area and selecting “Clear output” from the context menu.
Execute any other process using ! with string interpolation from python variables, and note the result can be assigned to a variable:
Magics
Colaboratory shares the notion of magics from Jupyter. There are shorthand annotations that change how a cell’s text is executed. To learn more, see Jupyter’s magics page.
参看下面的代码
# 克隆仓库到/content/my-repo目录下
!git clone https://github.com/my-github-username/my-git-repo.git
%cd my-git-repo
!./train.py --logdir /my/log/path --data_root /my/data/root --resume既有 ! 还有 % 就很奇怪。原因是 Jupyter 里面就有很多魔术命令。需要通过 % 才能生效