I wanted to give the new optimizer RAdam a try in my Keras + MXNet project. So I added a Keras implementation of this optimizer to
keras/optimizers.py. However, when fitting the model, I get an
assert isinstance(optimizer, opt.Optimizer).
Does anyone know what additional steps are needed in order to make sure that MXNet recognizes my custom optimizer?