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author | Gustaf Rydholm <gustaf.rydholm@gmail.com> | 2023-09-11 22:11:04 +0200 |
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committer | Gustaf Rydholm <gustaf.rydholm@gmail.com> | 2023-09-11 22:11:04 +0200 |
commit | 72ce2361f97676fc50ebc6b68b9083a402fa30c5 (patch) | |
tree | a22f1122c9d8768aba8e05f38366ab40a6701f7e /text_recognizer/network/convnext/downsample.py | |
parent | d784c49566e5a7705539fb4ceb0461bad8f41361 (diff) |
Update convnext
Diffstat (limited to 'text_recognizer/network/convnext/downsample.py')
-rw-r--r-- | text_recognizer/network/convnext/downsample.py | 9 |
1 files changed, 3 insertions, 6 deletions
diff --git a/text_recognizer/network/convnext/downsample.py b/text_recognizer/network/convnext/downsample.py index a8a0466..dcc14aa 100644 --- a/text_recognizer/network/convnext/downsample.py +++ b/text_recognizer/network/convnext/downsample.py @@ -1,6 +1,4 @@ """Convnext downsample module.""" -from typing import Tuple - from einops.layers.torch import Rearrange from torch import Tensor, nn @@ -8,12 +6,11 @@ from torch import Tensor, nn class Downsample(nn.Module): """Downsamples feature maps by patches.""" - def __init__(self, dim: int, dim_out: int, factors: Tuple[int, int]) -> None: + def __init__(self, dim: int, dim_out: 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), + Rearrange("b c (h s1) (w s2) -> b (c s1 s2) h w", s1=2, s2=2), + nn.Conv2d(dim * 4, dim_out, 1), ) def forward(self, x: Tensor) -> Tensor: |