ResNeXt.pytorch
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cannot run inference mismatch sizes
Hi, I was trying to run inference on the trained model using the test.py script but first there's an error on ordered dict iteritems() method which should be chnaged into items() and the other thing is that there are a lot of mismatches when loading the weighst into the model. Here's a screenshot:

Any ideas how to resolve those?
Hi @kirk86 there was an update on train.py that wasn't reflected in test.py. I have updated it. Thanks for pointing it out :)
https://github.com/prlz77/ResNeXt.pytorch/blob/master/test.py#L73
The same problem!!!