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-rw-r--r--text_recognizer/networks/vqvae/residual.py18
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diff --git a/text_recognizer/networks/vqvae/residual.py b/text_recognizer/networks/vqvae/residual.py
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+++ b/text_recognizer/networks/vqvae/residual.py
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+"""Residual block."""
+from torch import nn
+from torch import Tensor
+
+
+class Residual(nn.Module):
+ def __init__(self, in_channels: int, out_channels: int,) -> None:
+ super().__init__()
+ self.block = nn.Sequential(
+ nn.Mish(inplace=True),
+ nn.Conv2d(in_channels, out_channels, kernel_size=3, padding=1, bias=False),
+ nn.Mish(inplace=True),
+ nn.Conv2d(out_channels, in_channels, kernel_size=1, bias=False),
+ )
+
+ def forward(self, x: Tensor) -> Tensor:
+ """Apply the residual forward pass."""
+ return x + self.block(x)