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-rw-r--r--text_recognizer/networks/encoders/efficientnet/efficientnet.py4
-rw-r--r--text_recognizer/networks/encoders/efficientnet/mbconv.py5
2 files changed, 2 insertions, 7 deletions
diff --git a/text_recognizer/networks/encoders/efficientnet/efficientnet.py b/text_recognizer/networks/encoders/efficientnet/efficientnet.py
index 8c1ebcf..9454514 100644
--- a/text_recognizer/networks/encoders/efficientnet/efficientnet.py
+++ b/text_recognizer/networks/encoders/efficientnet/efficientnet.py
@@ -82,9 +82,7 @@ class EfficientNet(nn.Module):
for _ in range(num_repeats):
self._blocks.append(
MBConvBlock(
- **args,
- bn_momentum=self.bn_momentum,
- bn_eps=self.bn_eps,
+ **args, bn_momentum=self.bn_momentum, bn_eps=self.bn_eps,
)
)
args.in_channels = args.out_channels
diff --git a/text_recognizer/networks/encoders/efficientnet/mbconv.py b/text_recognizer/networks/encoders/efficientnet/mbconv.py
index 96626fc..4b051eb 100644
--- a/text_recognizer/networks/encoders/efficientnet/mbconv.py
+++ b/text_recognizer/networks/encoders/efficientnet/mbconv.py
@@ -158,10 +158,7 @@ class MBConvBlock(nn.Module):
def _configure_padding(self) -> Tuple[int, int, int, int]:
"""Set padding for convolutional layers."""
if self.stride == (2, 2):
- return (
- (self.kernel_size - 1) // 2 - 1,
- (self.kernel_size - 1) // 2,
- ) * 2
+ return ((self.kernel_size - 1) // 2 - 1, (self.kernel_size - 1) // 2,) * 2
return ((self.kernel_size - 1) // 2,) * 4
def __attrs_post_init__(self) -> None: