Colab每次跑程序必用代码记录

1.记得选择使用GPU

# 授权绑定Google Drive
!apt-get install -y -qq software-properties-common python-software-properties module-init-tools
!add-apt-repository -y ppa:alessandro-strada/ppa 2>&1 > /dev/null
!apt-get update -qq 2>&1 > /dev/null
!apt-get -y install -qq google-drive-ocamlfuse fuse
from google.colab import auth
auth.authenticate_user()
from oauth2client.client import GoogleCredentials
creds = GoogleCredentials.get_application_default()
import getpass
!google-drive-ocamlfuse -headless -id={creds.client_id} -secret={creds.client_secret} < /dev/null 2>&1 | grep URL
vcode = getpass.getpass()
!echo {vcode} | google-drive-ocamlfuse -headless -id={creds.client_id} -secret={creds.client_secret}

2.安装必要的库(还不确定必须需要)

# 安装最新版本Keras
!pip install keras
# 安装 OpenCV
!apt-get -qq install -y libsm6 libxext6 && pip install -q -U opencv-python
# 安装 Pytorch
# http://pytorch.org/
!pip install -q http://download.pytorch.org/whl/cu75/torch-0.2.0.post3-cp27-cp27mu-manylinux1_x86_64.whl torchvision

3.进入文件并查看

 
 
# 挂载Google driver,指定Google Drive云端硬盘的根目录,名为drive
!mkdir -p drive
!google-drive-ocamlfuse drive

# 指定当前的工作目录
# 此处为google drive中的文件路径,drive为之前指定的工作根目录,要加上
import os
os.chdir("drive/BreastCancer_FinalVersion")

!ls

 

4. 运行

!python trainAlexnet.py

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转载自www.cnblogs.com/lxwen/p/12901758.html