Setup for training Tensorflow models on SLURM clusters.
Project description
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 inconfig_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.
- A
To do
- Add option
--local
onscoach start
for launching runs locally - Add support for uploading/managing datasets
- No Python script duplicates
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