Jupyter-Tensorboard: Start Tensorboard in Jupyter Notebook
Tensorboard Integration for Jupyter Notebook.
A jupyter server extension for better collaboration between jupyter notebook and tensorboard (a visualization tool for tensorflow), providing graphical user interface for tensorboard start, manage and stop in jupyter interface. It provides:
- No need to type tensorboard and the long log path in command line.
- No need extra port for serve tensorboard. This is helpful for remote jupyter servers.
- Multiple tensorboard instance managing simultaneously.
Be sure that tensorflow(-gpu)>=1.3.0 has been installed. If not, you should install or upgrade your tensorflow>=1.3.0 first, and tensorboard is a dependency of tensorflow so that it is automatically installed. This package does not have a tensorflow dependency because there are several distributions of tensorflow, for example, tensorflow and tensorflow-gpu. Any way, you must be sure you have tensorflow(-gpu) installed before install this package.
Install the pip package. The python version must be the same as Jupyter: if you start jupyter notebook in python3,
pip3may be used to install the package
pip(3) install jupyter-tensorboard
The python version is important, you must be sure that your jupyter, jupyter_tensorboard, tensorflow have the same python version. If your tensorflow python and jupyter python versions are different, e.g., use tensorflow in py2 but jupyter starts in py3, both versions of tensorflow(py2 and py3) should be installed, and jupyter_tensorboard should install to py3, in accordance with jupyter.
Restart the jupyter notebook server.
Use jupyter-tensorboard in docker containers
Docker image for
Jupyter Notebook Scientific Python Stack + Tensorflow + Tensorboard is available, just with the command:
docker pull lspvic/tensorboard-notebook docker run -it --rm -p 8888:8888 lspvic/tensorboard-notebook
Once jupyter_tensorboard is installed and enabled, and your notebook server has been restarted, you should be able to find the interfaces to manage tensorboard instances.
- In notebook tree view, select a directory, a
tensorboardbutton will be presented. Click the button, a new browser tab will be opened to show the tensorboard interface with the proposed directory as logdir.
- In notebook tree view, click the
newand a new tensorboard instance is started with current directory as logdir.
- In notebook
runningtab, a list of tensorboard instances are showed. Managing operations such as browsing, navigating, shutdown can be found here.
- The tensorboard instance interface is in
http://jupyter-host/tensorboard/<name>/with the instance names increasing from 1.
To purge the installation of the extension, there are a few steps to execute:
jupyter tensorboard disable --user pip uninstall jupyter-tensorboard
or if you have uninstall the pip package, but the extension seems to be not purged, you can execute:
jupyter serverextension disable jupyter_tensorboard --user jupyter nbextension disable jupyter_tensorboard/tree --user jupyter nbextension uninstall jupyter_tensorboard --user
The commands accept the same flags as the
jupyter serverextension command provided by notebook versions, including
--system to enable(or disable) in system-wide config, or
--sys-prefix to enable(or disable) in config files inside python's
sys.prefix, such as for a virtual environment.
If you encounter problems with this server extension, you can:
- Check that jupyter-tensorboard, tensorflow and tensorboard are all installed via
pip list|grep tensor, you should see at least three lines,
tensorboard). And also, check that
tensorflowversion is >=1.3.
- Check that jupyter notebook is installed in the same python version via
pip list|grep notebook, you shold see
- If you have installed the package but no buttons of tensorboard in jupyter appear, you need to run
jupyter tensorboard enable --user. The step should be performed in the installation process, however, in some cases it seems that the command is not executed.
- Check the issue page for this repository. If you can't find one that fits your problem, please create a new one!