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Description
Implementation of a BatchNorm layer with Per-Step Batch Normalisation Running Statistics and Per-Step Batch Normalisation Weights and Biases, as proposed in MAML++ by Antobiou et al.
An extension of Pytorch's BatchNorm layer, with the Per-Step Batch Normalisation Running Statistics and Per-Step Batch Normalisation Weights and Biases improvements proposed MAML++ by Antoniou et al. It is adapted from the original Pytorch implementation https://github.com/AntreasAntoniou/with heavy refactoring and a bug (AntreasAntoniou/HowToTrainYourMAMLPytorch#42).
Contribution Checklist
If your contribution modifies code in the core library (not docs, tests, or examples), please fill the following checklist.