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Diffstat (limited to 'text_recognizer/networks/convnext/norm.py')
| -rw-r--r-- | text_recognizer/networks/convnext/norm.py | 3 |
1 files changed, 3 insertions, 0 deletions
diff --git a/text_recognizer/networks/convnext/norm.py b/text_recognizer/networks/convnext/norm.py index 23cf07a..3355de9 100644 --- a/text_recognizer/networks/convnext/norm.py +++ b/text_recognizer/networks/convnext/norm.py @@ -4,11 +4,14 @@ 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) |