scoach
A setup for training Tensorflow models on SLURM clusters
How does it work?
- Inputs needed (see examples directory):
- A
.jsonfile with parameters for training - A
.jsonfile with the model definition - A
.pyfile with the training code. - There's a CLI app for interacting with scoach
- Run
scoach initfor 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 submitto 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
--localonscoach startfor launching runs locally - Add support for uploading/managing datasets
- No Python script duplicates
1 maintainer
Metadata
1 maintainer
Release files for scoach 0.1.9
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| File | Size | Uploaded | Provenance | |
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| scoach-0.1.9.tar.gz | 25.7 kB | Without provenance | Details |
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| scoach-0.1.9-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 67.4 kB
Release files / scoach-0.1.9.tar.gz
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Release files / scoach-0.1.9-py3-none-any.whl
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| Tags | Python 3 |
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