"""
CIFAR classification with ISONet
================================

.. warning::
   This tutorial is a **stub**. The example in this folder is complete and runnable -- see the
   README and run the command below -- but the narrated walkthrough has not been written yet.
   Tracking issue: the tutorial is marked ``draft: true`` in ``metadata.yml``.

Deep isometric learning on CIFAR-10/100. ISONet trains very deep networks without residual connections or batch normalisation by keeping the layer-wise transform close to an isometry.

To run the full example now::

    python main.py --cfg configs/CF10-ISO38.yaml --output CF10-ISO38
"""

# %%
# Setup
# -----
# Placeholder so the gallery builds. Replace this file using
# ``source/_shared/templates/plot.py.template``.

print("See main.py in this folder for the runnable example.")