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authorGustaf Rydholm <gustaf.rydholm@gmail.com>2022-09-13 19:07:53 +0200
committerGustaf Rydholm <gustaf.rydholm@gmail.com>2022-09-13 19:07:53 +0200
commit9732617e402a5152ba822eb1459d6ff776aba15c (patch)
tree69cd4d4895f486bf41d20e7a74cad683ebd64294 /text_recognizer/networks/convnext/downsample.py
parent3c411a90422af3e97f5b71402dcf897642b24db7 (diff)
Add convnext module
Diffstat (limited to 'text_recognizer/networks/convnext/downsample.py')
-rw-r--r--text_recognizer/networks/convnext/downsample.py17
1 files changed, 17 insertions, 0 deletions
diff --git a/text_recognizer/networks/convnext/downsample.py b/text_recognizer/networks/convnext/downsample.py
new file mode 100644
index 0000000..6e4306f
--- /dev/null
+++ b/text_recognizer/networks/convnext/downsample.py
@@ -0,0 +1,17 @@
+from typing import Tuple
+
+from einops.layers.torch import Rearrange
+from torch import nn, Tensor
+
+
+class Downsample(nn.Module):
+ def __init__(self, dim: int, dim_out: int, factors: Tuple[int, int]) -> None:
+ super().__init__()
+ s1, s2 = factors
+ self.fn = nn.Sequential(
+ Rearrange("b c (h s1) (w s2) -> b (c s1 s2) h w", s1=s1, s2=s2),
+ nn.Conv2d(dim * s1 * s2, dim_out, 1),
+ )
+
+ def forward(self, x: Tensor) -> Tensor:
+ return self.fn(x)