diff options
author | Gustaf Rydholm <gustaf.rydholm@gmail.com> | 2021-04-05 23:24:20 +0200 |
---|---|---|
committer | Gustaf Rydholm <gustaf.rydholm@gmail.com> | 2021-04-05 23:24:20 +0200 |
commit | dedf8deb025ac9efdad5e9baf9165ef63d6829ff (patch) | |
tree | 56b10fcaef479d8abe9b0e6c05e07ad5e02b9ab0 /text_recognizer/networks/residual_network.py | |
parent | 532286b516b17d279c321358bf03dddc8adc8029 (diff) |
Pre-commit fixes, optimizer loading fix
Diffstat (limited to 'text_recognizer/networks/residual_network.py')
-rw-r--r-- | text_recognizer/networks/residual_network.py | 6 |
1 files changed, 5 insertions, 1 deletions
diff --git a/text_recognizer/networks/residual_network.py b/text_recognizer/networks/residual_network.py index c33f419..da7553d 100644 --- a/text_recognizer/networks/residual_network.py +++ b/text_recognizer/networks/residual_network.py @@ -20,7 +20,11 @@ class Conv2dAuto(nn.Conv2d): def conv_bn(in_channels: int, out_channels: int, *args, **kwargs) -> nn.Sequential: """3x3 convolution with batch norm.""" - conv3x3 = partial(Conv2dAuto, kernel_size=3, bias=False,) + conv3x3 = partial( + Conv2dAuto, + kernel_size=3, + bias=False, + ) return nn.Sequential( conv3x3(in_channels, out_channels, *args, **kwargs), nn.BatchNorm2d(out_channels), |