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-rw-r--r--text_recognizer/network/convnext/norm.py18
1 files changed, 18 insertions, 0 deletions
diff --git a/text_recognizer/network/convnext/norm.py b/text_recognizer/network/convnext/norm.py
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+++ b/text_recognizer/network/convnext/norm.py
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+"""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