Can I use TensorBoard with Google Colab?

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EDIT: You probably want to give the official %tensorboard magic a go, available from TensorFlow 1.13 onward.

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.

These are the steps (the code snippets represent cells of type “code” in colab):

  1. 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)
)

  2. 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

  3. Launch ngrok background process…

    get_ipython().system_raw('./ngrok http 6006 &')

    …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'])"

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