mlx/docs/build/doctrees/python/_autosummary/mlx.optimizers.Optimizer.doctree

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__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.<2E>h]<5D>h	<09>table<6C><65><EFBFBD>)<29><>}<7D>(hhh]<5D>h	<09>tgroup<75><70><EFBFBD>)<29><>}<7D>(hhh]<5D>(h	<09>colspec<65><63><EFBFBD>)<29><>}<7D>(hhh]<5D>h}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D><>colwidth<74>K
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