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Diffstat (limited to 'text_recognizer/network/transformer/norm.py')
-rw-r--r-- | text_recognizer/network/transformer/norm.py | 22 |
1 files changed, 22 insertions, 0 deletions
diff --git a/text_recognizer/network/transformer/norm.py b/text_recognizer/network/transformer/norm.py new file mode 100644 index 0000000..2737754 --- /dev/null +++ b/text_recognizer/network/transformer/norm.py @@ -0,0 +1,22 @@ +"""Normalization layers for transformers. + +Copied from lucidrains: + https://github.com/lucidrains/x-transformers/blob/main/x_transformers/x_transformers.py + +""" +import torch +from torch import Tensor, nn +import torch.nn.functional as F + + +class RMSNorm(nn.Module): + """Root mean square layer normalization.""" + + def __init__(self, heads: int, dim: int) -> None: + super().__init__() + self.scale = dim**-0.5 + self.gamma = nn.Parameter(torch.ones(heads, 1, dim)) + + def forward(self, x: Tensor) -> Tensor: + """Applies normalization.""" + return F.normalize(x, dim=-1) * self.scale * self.gamma |