machine-learningneural-networkpytorch
Do Layer Normalization in Pytorch without learnable parameters?
We can add layer normalization in Pytorch by doing: torch.nn.LayerNorm(shape). However, this is layer normalization with learnable parameters. I.e, it's the following equation:
Does Pytorch have builtin layer normalization without learnable parameters?
Solution
You can use nn.LayerNorm, setting the elementwise flag to False. This way the layer won't have learnt parameters. See source code for additional reference.
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