From 1bccf71cf4eec335001b50a8fbc0c991d0e6d13a Mon Sep 17 00:00:00 2001
From: Gustaf Rydholm <gustaf.rydholm@gmail.com>
Date: Wed, 4 Aug 2021 22:15:36 +0200
Subject: Add conv attention, up and downsampling to vqvae module

---
 text_recognizer/networks/vqvae/resize.py | 19 +++++++++++++++++++
 1 file changed, 19 insertions(+)
 create mode 100644 text_recognizer/networks/vqvae/resize.py

(limited to 'text_recognizer/networks/vqvae/resize.py')

diff --git a/text_recognizer/networks/vqvae/resize.py b/text_recognizer/networks/vqvae/resize.py
new file mode 100644
index 0000000..769d089
--- /dev/null
+++ b/text_recognizer/networks/vqvae/resize.py
@@ -0,0 +1,19 @@
+"""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)
-- 
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