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MAML++: BNRS #327

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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.

  • My contribution is listed in CHANGELOG.md with attribution.
  • My contribution modifies code in the main library.
  • My modifications are tested.
  • My modifications are documented.

@DubiousCactus DubiousCactus changed the title Implement BatchNorm with BNRS in the library MAML++: BNRS Mar 25, 2022
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lgtm-com bot commented Mar 25, 2022

This pull request introduces 3 alerts when merging 77eff55 into df3c329 - view on LGTM.com

new alerts:

  • 3 for Unused import

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lgtm-com bot commented Mar 31, 2022

This pull request introduces 2 alerts when merging 2beb0b2 into df3c329 - view on LGTM.com

new alerts:

  • 1 for Unused local variable
  • 1 for Variable defined multiple times

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