Hi guys!
I’m doing some experiments with the EfficientNet as a backbone.
I’m using the pre-trained EfficientNet models from torchvision.models.
As I found from the paper and the docs of Keras, the EfficientNet variants have different input sizes as below.

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Is it true for the models in Pytorch?
If I want to keep the same input size for all the EfficientNet variants, will it affect the performance of the models?