Fix missing head_norm arg pop for feature model

This commit is contained in:
Ross Wightman 2024-05-24 15:50:34 -07:00
parent 7fe96e7a92
commit a12b72b5c4

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@ -385,7 +385,7 @@ def _create_mnv3(variant: str, pretrained: bool = False, **kwargs) -> MobileNetV
if 'feature_cfg' in kwargs or 'feature_cls' in kwargs:
features_mode = 'cfg'
else:
kwargs_filter = ('num_classes', 'num_features', 'head_conv', 'head_bias', 'global_pool')
kwargs_filter = ('num_classes', 'num_features', 'head_conv', 'head_bias', 'head_norm', 'global_pool')
model_cls = MobileNetV3Features
features_mode = 'cls'