Vectorized inference of multiple models

Hi @hadarshavit,

Have a look at the torch.func library, you can functionalize your model to take the params as an input. You can then vmap over them.

An example can be found on the forums here: Another way to implement MAML(Model-Agnostic Meta-Learning)?

Although, you’ll need to replace functorch with torch.func for pytorch2.0 and above.