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-rw-r--r--text_recognizer/networks/vqvae/resize.py19
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diff --git a/text_recognizer/networks/vqvae/resize.py b/text_recognizer/networks/vqvae/resize.py
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+++ b/text_recognizer/networks/vqvae/resize.py
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+"""Up and down-sample with linear interpolation."""
+from torch import nn, Tensor
+import torch.nn.functional as F
+
+
+class Upsample(nn.Module):
+ """Upsamples by a factor 2."""
+
+ def forward(self, x: Tensor) -> Tensor:
+ """Applies upsampling."""
+ return F.interpolate(x, scale_factor=2, mode="nearest")
+
+
+class Downsample(nn.Module):
+ """Downsampling by a factor 2."""
+
+ def forward(self, x: Tensor) -> Tensor:
+ """Applies downsampling."""
+ return F.avg_pool2d(x, kernel_size=2, stride=2)