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author | Gustaf Rydholm <gustaf.rydholm@gmail.com> | 2022-09-13 19:07:53 +0200 |
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committer | Gustaf Rydholm <gustaf.rydholm@gmail.com> | 2022-09-13 19:07:53 +0200 |
commit | 9732617e402a5152ba822eb1459d6ff776aba15c (patch) | |
tree | 69cd4d4895f486bf41d20e7a74cad683ebd64294 /text_recognizer/networks/convnext/downsample.py | |
parent | 3c411a90422af3e97f5b71402dcf897642b24db7 (diff) |
Add convnext module
Diffstat (limited to 'text_recognizer/networks/convnext/downsample.py')
-rw-r--r-- | text_recognizer/networks/convnext/downsample.py | 17 |
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) |