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Missing stem_kernel_size argument in EfficientNetFeatures

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Ross Wightman 2024-06-14 13:39:31 -07:00
parent 9613c76844
commit a0bb5b4a44
1 changed files with 3 additions and 2 deletions
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5
timm/models/efficientnet.py
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@ -79,8 +79,8 @@ class EfficientNet(nn.Module):
num_features: int = 1280,
in_chans: int = 3,
stem_size: int = 32,
fix_stem: bool = False,
stem_kernel_size: int = 3,
fix_stem: bool = False,
output_stride: int = 32,
pad_type: str = '',
act_layer: Optional[LayerType] = None,
@ -278,6 +278,7 @@ class EfficientNetFeatures(nn.Module):
feature_location: str = 'bottleneck',
in_chans: int = 3,
stem_size: int = 32,
stem_kernel_size: int = 3,
fix_stem: bool = False,
output_stride: int = 32,
pad_type: str = '',
@ -300,7 +301,7 @@ class EfficientNetFeatures(nn.Module):
# Stem
if not fix_stem:
stem_size = round_chs_fn(stem_size)
self.conv_stem = create_conv2d(in_chans, stem_size, 3, stride=2, padding=pad_type)
self.conv_stem = create_conv2d(in_chans, stem_size, stem_kernel_size, stride=2, padding=pad_type)
self.bn1 = norm_act_layer(stem_size, inplace=True)
# Middle stages (IR/ER/DS Blocks)