分享程序员开发的那些事...
更新时间：2022-06-25 23:56:50
你可能想给官方 %tensorboard 魔法，从 TensorFlow 1.13 开始可用.
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，标准的方法是实现这一点是使用代理网络流量到 Colab VMngrok.Colab 示例可以在此处找到.
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(代码片段代表 colab 中代码"类型的单元格):
These are the steps (the code snippets represent cells of type "code" in colab):
让 TensorBoard 在后台运行.
灵感来自这个答案.
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.
将传递给 wget 的链接替换为适用于您的操作系统的正确下载链接.
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'])"