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-rw-r--r--text_recognizer/networks/transformer/norm.py22
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diff --git a/text_recognizer/networks/transformer/norm.py b/text_recognizer/networks/transformer/norm.py
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+++ b/text_recognizer/networks/transformer/norm.py
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+"""Normalization layers for transfromers.
+
+Copied from lucidrains:
+ https://github.com/lucidrains/x-transformers/blob/main/x_transformers/x_transformers.py
+
+"""
+from typing import Callable, Dict
+
+import torch
+from torch import nn
+from torch import Tensor
+
+
+class Rezero(nn.Module):
+ def __init__(self, fn: Callable) -> None:
+ super().__init__()
+ self.fn = fn
+ self.g = nn.Parameter(torch.zeros(1))
+
+ def forward(self, x: Tensor, **kwargs: Dict) -> Tensor:
+ x, *rest = self.fn(x, **kwargs)
+ return (x * self.g, *rest)