From beeaef529e7c893a3475fe27edc880e283373725 Mon Sep 17 00:00:00 2001 From: aktersnurra Date: Sun, 8 Nov 2020 12:41:04 +0100 Subject: Trying to get the CNNTransformer to work, but it is hard. --- src/text_recognizer/networks/densenet.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) (limited to 'src/text_recognizer/networks/densenet.py') diff --git a/src/text_recognizer/networks/densenet.py b/src/text_recognizer/networks/densenet.py index d2aad60..7dc58d9 100644 --- a/src/text_recognizer/networks/densenet.py +++ b/src/text_recognizer/networks/densenet.py @@ -72,7 +72,7 @@ class _DenseBlock(nn.Module): ) -> None: super().__init__() self.dense_block = self._build_dense_blocks( - num_layers, in_channels, bn_size, growth_rate, dropout_rate, activation + num_layers, in_channels, bn_size, growth_rate, dropout_rate, activation, ) def _build_dense_blocks( @@ -219,7 +219,7 @@ class DenseNet(nn.Module): def forward(self, x: Tensor) -> Tensor: """Forward pass of Densenet.""" - # If batch dimenstion is missing, it needs to be added. + # If batch dimenstion is missing, it will be added. if len(x.shape) < 4: x = x[(None,) * (4 - len(x.shape))] return self.densenet(x) -- cgit v1.2.3-70-g09d2