Optimizers

This contains a set of optimizers.

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wrap_optimizer

 wrap_optimizer (opt, **kwargs)

You can natively use any of the optimizers included in the fastai library. You just need to pass it to the learner as the opt_func.

In addition, you will be able to use any of the optimizers from:

• Pytorch
• torch_optimizer (https://github.com/jettify/pytorch-optimizer). In this case, you will need to install torch-optimizer first)

Examples of use:

adamw = wrap_optimizer(torch.optim.AdamW)

import torch_optimizer as optim
adabelief = wrap_optimizer(optim.AdaBelief)

If you want to use any these last 2, you can use the wrap_optimizer function. Here are a few examples: