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Diffstat (limited to 'text_recognizer/network/convnext/norm.py')
-rw-r--r-- | text_recognizer/network/convnext/norm.py | 18 |
1 files changed, 18 insertions, 0 deletions
diff --git a/text_recognizer/network/convnext/norm.py b/text_recognizer/network/convnext/norm.py new file mode 100644 index 0000000..3355de9 --- /dev/null +++ b/text_recognizer/network/convnext/norm.py @@ -0,0 +1,18 @@ +"""Layer norm for conv layers.""" +import torch +from torch import Tensor, nn + + +class LayerNorm(nn.Module): + """Layer norm for convolutions.""" + + def __init__(self, dim: int) -> None: + super().__init__() + self.gamma = nn.Parameter(torch.ones(1, dim, 1, 1)) + + def forward(self, x: Tensor) -> Tensor: + """Applies layer norm.""" + eps = 1e-5 if x.dtype == torch.float32 else 1e-3 + var = torch.var(x, dim=1, unbiased=False, keepdim=True) + mean = torch.mean(x, dim=1, keepdim=True) + return (x - mean) / (var + eps).sqrt() * self.gamma |