Check if the patch for the ReduceLRonPlateau works

[jlperla]

i.e. Lightning-AI/pytorch-lightning#10850

If so, then I think what we do is put the class FutureLightningCLI(LightningCLI): into the econ_layers and then in downstream users can use that instead of from the LightningCLI directly? If that works, it is an easy patch for setups where we want to try the plateau, and we can just swap back when the new release occurs.

@jbrightuniverse It might be worth trying this sooner than later if the symmetry paper ends up sensitive to the LR, but lets get it working with the step/exponential ones first.