EfficientNet-PyTorch
                                
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                        allow to load pretrained weights when the include_top variable is False
This merge request is related to the bug #278
The class initialization is failed when called using from_pretrained(..,  include_top=False) function or when the number of classes is not equal to 1000, i.e. from_pretrained(.., num_classes=100).
This pull request allow to load the pre-trained weights even when the number of classes is not equal to 1000 or when the top classifier is ignored.
_fc.weight and _fc.bias will only be loaded when include_top=True and num_classes=1000 (default values)
Why hasn't this been merged yet? A simple solution to a problem affecting many users.