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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, 0 insertions, 18 deletions
diff --git a/text_recognizer/network/convnext/norm.py b/text_recognizer/network/convnext/norm.py deleted file mode 100644 index 3355de9..0000000 --- a/text_recognizer/network/convnext/norm.py +++ /dev/null @@ -1,18 +0,0 @@ -"""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 |