This repo contains an example training workflow consisting of three simple SkyPilot tasks:

1. data_preprocessing: Ingests data and writes it to a bucket.
2. train: Trains a model on the data.
3. eval: Evaluates the model. Can be optionally run on the same cluster as train.

These tasks don't actually run any code, but they demonstrate how to structure a training workflow on SkyPilot.

When developing the workflow, you can run the tasks independently using sky launch:

$ sky launch -c data data_preprocessing.yaml
...

The train and eval step can be run in a similar way, and the eval step can be run on the same cluster as the train step by setting the --cluster flag:

$ sky launch -c train train.yaml
...
# Run eval on the same cluster as train
$ sky exec train eval.yaml