scoach 0.1.9

Setup for training Tensorflow models on SLURM clusters.

scoach

A setup for training Tensorflow models on SLURM clusters

How does it work?

• Inputs needed (see examples directory):
  • A .json file with parameters for training
  • A .json file with the model definition
  • A .py file with the training code.
  • There's a CLI app for interacting with scoach
  • Run scoach init for setting up your configuration file, such as in config_example.yaml
  • On the login machine at the SLURM cluster, run scoach start. This will start a daemon that will then launch jobs as requested.
  • On any machine, you can do scoach run submit to submit jobs.
  • This will upload the Python script to MinIO and submit the configurations to the database.
  • The new runs are consumed by the daemon process, which then uses Jinja2 to render the training script and submit it to the cluster.
  • The training script is then run on the cluster, using Dask workers, that will grow as needed.

To do

• Add option --local on scoach start for launching runs locally
• Add support for uploading/managing datasets
• No Python script duplicates