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| author | Gustaf Rydholm <gustaf.rydholm@gmail.com> | 2021-04-22 08:15:58 +0200 |
|---|---|---|
| committer | Gustaf Rydholm <gustaf.rydholm@gmail.com> | 2021-04-22 08:15:58 +0200 |
| commit | 1ca8b0b9e0613c1e02f6a5d8b49e20c4d6916412 (patch) | |
| tree | 5e610ac459c9b254f8826e92372346f01f8e2412 /text_recognizer/networks/residual_network.py | |
| parent | ffa4be4bf4e3758e01d52a9c1f354a05a90b93de (diff) | |
Fixed training script, able to train vqvae
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), |