Batch Connect - OSC Jupyter
An interactive app designed for OSC OnDemand that launches a TensorBoard server within an Owens batch job.
This Batch Connect app requires the following software be installed on the compute nodes that the batch job is intended to run on (NOT the OnDemand node):
- Lmod 6.0.1+ or any other
module load <modules>based CLI used to load appropriate environments within the batch job before launching the Tensorboard server.
- TensorBoard 2.1.0 (earlier versions are untested but may work for you)
Use Git to clone this app and checkout the desired branch/version you want to use:
scl enable git19 -- git clone <repo> cd <dir> scl enable git19 -- git checkout <tag/branch> module load python/3.6-conda5.2 # sudo will install globally, without it pip will install the user's home sudo python -m pip install -r requirements.txt
You will not need to do anything beyond this as all necessary assets are installed. You will also not need to restart this app as it isn't a Passenger app.
To update the app you would:
cd <dir> scl enable git19 -- git fetch scl enable git19 -- git checkout <tag/branch>
Again, you do not need to restart the app as it isn't a Passenger app.
- Fork it ( https://github.com/OSC/bc_osc_tensorboard/fork )
- Create your feature branch (
git checkout -b my-new-feature)
- Commit your changes (
git commit -am 'Add some feature')
- Push to the branch (
git push origin my-new-feature)
- Create a new Pull Request