mlx.optimizers.Optimizer
- class mlx.optimizers.Optimizer
The base class for all optimizers. It allows us to implement an optimizer on a per-parameter basis and apply it to a parameter tree.
- state
It holds the optimizer’s state dictionary.
- Type:
Methods
__init__()apply_gradients(gradients, model)Apply the gradients to the parameters and return the updated parameters.
apply_single(gradient, parameter, state)To be extended by the children classes to implement each optimizer's update.
update(model, gradients)Apply the gradients to the parameters of the model and update the model with the new parameters.