Hi guys, I’m running such code:
so = self.classifiers[y_predictions[0]].model(inputs)
self.classifiers[y_predictions[0]].model.train(True)
soo = self.classifiers[y_predictions[0]].model(inputs)
self.classifiers[y_predictions[0]].model.train(False)
sooo = self.classifiers[y_predictions[0]].model(inputs)
self.classifiers[y_predictions[0]].model
is the original ResNet18 appended by PyTorch and is used for bin-classification.
I’m confused why so, soo and sooo have different value shown above? Thanks in advance.