No error when transfer learning with wrong shape?

I have a funny “non-error”: In my training setup I changed from Inception V3 to Resnet50 but did not change the Resizing (was still at 299 image size), but when I then tried to retrain on these Images, I noticed, that even though I had the wrong size, the training would work without any problem. Why is that?


The torchvision models use an adaptive pooling layer as shown here, which makes the input size more flexible.

Ah this is good to know thank you! I really appreciate your help here, it’s a great community :+1:

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