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-rw-r--r--text_recognizer/networks/vqvae/norm.py20
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diff --git a/text_recognizer/networks/vqvae/norm.py b/text_recognizer/networks/vqvae/norm.py
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+++ b/text_recognizer/networks/vqvae/norm.py
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+"""Normalizer block."""
+import attr
+from torch import nn, Tensor
+
+
+@attr.s
+class Normalize(nn.Module):
+ num_channels: int = attr.ib()
+ norm: nn.GroupNorm = attr.ib(init=False)
+
+ def __attrs_post_init__(self) -> None:
+ """Post init configuration."""
+ super().__init__()
+ self.norm = nn.GroupNorm(
+ num_groups=32, num_channels=self.num_channels, eps=1.0e-6, affine=True
+ )
+
+ def forward(self, x: Tensor) -> Tensor:
+ """Applies group normalization."""
+ return self.norm(x)