Add RMS normalization #916
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Avoid ci errors
- Add the try_normalize_rms related functions. - Add the `LayerRMSNorm1D` module.
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LayerRMSNorm1Dmodule.Implements RMS layer normalization as described in Root Mean Square Layer Normalization.
The layer normalizes a tensor axis to have stddev of 1.0, but differently from the other normal layer normalization, the mean is not forced to zero.
Computes
tensor / (tensor.square().mean() + epsilon).sqrt().Note: I haven't made an actual pytorch test to compare, not even locally, but have made a bigger test that depend on this functionality and it appeared to work ok. So this PR should be considered a draft.