分享程序员开发的那些事...
更新时间：2022-06-25 23:57:08
You probably want to give the official %tensorboard magic a go, available from TensorFlow 1.13 onward.
在%tensorboard魔法存在之前，标准方法
实现此目的是使用以下方式将网络流量代理到Colab VM
ngrok .可以在此处.
Prior to the existence of the %tensorboard magic, the standard way to
achieve this was to proxy network traffic to the Colab VM using
ngrok. A Colab example can be found here.
这些是步骤(代码段代表colab中类型为代码"的单元格):
These are the steps (the code snippets represent cells of type "code" in colab):
使TensorBoard在后台运行.
灵感来自此答案.
Get TensorBoard running in the background.
Inspired by this answer.
LOG_DIR = '/tmp/log'
get_ipython().system_raw(
'tensorboard --logdir {} --host 0.0.0.0 --port 6006 &'
.format(LOG_DIR)
)
下载并解压缩ngrok .
用适合您操作系统的正确下载链接替换传递给wget的链接.
Download and unzip ngrok.
Replace the link passed to wget with the correct download link for your OS.
! wget https://bin.equinox.io/c/4VmDzA7iaHb/ngrok-stable-linux-amd64.zip
! unzip ngrok-stable-linux-amd64.zip
启动ngrok后台进程...
Launch ngrok background process...
get_ipython().system_raw('./ngrok http 6006 &')
...并检索公共网址. 来源
...and retrieve public url. Source
! curl -s http://localhost:4040/api/tunnels | python3 -c \
"import sys, json; print(json.load(sys.stdin)['tunnels'][0]['public_url'])"