Created
February 5, 2018 02:01
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Start docker with Juypter, Tensorboard (with Tensoflow lib)
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#!/bin/bash -x | |
## Launch Jupyter and Tensorboard | |
sudo nvidia-docker run --rm --name tf1 -p 8888:8888 -p 6006:6006 gcr.io/tensorflow/tensorflow:latest-gpu jupyter notebook --allow-root | |
## If the above command shows a line like: | |
# http://localhost:8888/?token=c8caba947dfd4c97414447c074325faf399cf8a157d0ce2f | |
# …you’re in business. Find the external IP address of your GCE instance and connect to it on port 8888, | |
# e.g. http://EXTERNAL_IP:8888/, type in the (similar) token from your console, and | |
# you have a GPU enabled Jupyter notebook running Tensorflow. |
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