Julia scripts and hyper parameter sweeps can be run in Grid easily using CLI or the web UI. Both CPU and GPU instances are supported with all necessary system drivers pre-installed and set up, so you can take advantage of multiprocessing and compute acceleration hardware with no additional configuration.
Step 0 Prepare script
Have the Julia script available on Github
Make sure the Julia script is invocable via the command line. No changes to your code are required when running on Grid
Julia scripts must be named with the suffix .jl
If any dependencies are required, the git repo must contain a valid Project.toml file which has been generated by the Julia standard library pkg manager utility.
Optionally, you can test by creating an Interactive Session in Grid and running your script there
Step 1 Run on Grid
Start the Grid platform at platform.grid.ai
In the Web UI, choose “New Run”
Copy and paste the Github script or select the entry file in the dropdown menu
Select Julia from the “framework” drop down option
Add any script arguments
If the script accepts command line arguments, you can submit a hyperparameter sweep in the same way you do for a python based run
Step 2 See results
Any text sent to stdout from the Julia program will be available in the Stdout log
Any artifacts written in the main program directory are automatically preserved
If you are able to view Tensorboard logs then metrics are available in the Web UI as well as any artifacts
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Note: The first time you run a Julia file, it will take a bit longer; you can track progress in Build logs
At this time, we only support the latest release of the Julia language (v1.6.1) please ensure that 1.6.1 is compatible with the Julia version specified in the [compat] section of the repository's Project.toml.