我如何启动 tensorflow docker jupyter notebook [英] How do I start tensorflow docker jupyter notebook
问题描述
我已经在 ubuntu 机器上安装了 tensorflow docker 容器.tensorflow docker
I've installed the tensorflow docker container on an ubuntu machine. The tensorflow docker setup instructions specify:
docker run -it b.gcr.io/tensorflow/tensorflow
This puts me into the docker container terminal, and I can run python and execute the Hello World example. I can also manually run . un_jupyter.sh to start the jupyter notebook. However, I can't reach the notebook from host.
How do I start the jupyter notebook such that I can use the notebook from the host machine? Ideally I would like to use docker to launch the container and start jupyter in a single command.
For a Linux host Robert Graves answer will work, but for Mac OS X or Windows there is more to be done because docker runs in a virtual machine.
So to begin launch the docker shell (or any shell if you are using Linux) and run the following command to launch a new TensorFlow container:
docker run -p 8888:8888 -p 6006:6006 b.gcr.io/tensorflow/tensorflow ./run_jupyter.sh
Then for Mac OS X and Windows you need to do the following only once:
- Open VirtualBox
- Click on the docker vm (mine was automatically named "default")
- Open the settings by clicking settings
- In the network settings open the port forwarding dialog
- Click the + symbol to add another port and connect a port from your mac to the VM by filling in the dialog as shown below. In this example I chose port 8810 because I run other notebooks using port 8888.
- then open a browser and connect to http://localhost:8810 (or whichever port you set in the host port section
- Make your fancy pants machine learning app!
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