I’m writing a network where one parameter (I used register_buffer) is expected to be updated if the model is under model.train(), and not to change if is under model.eval(). So I need a (boolean) criterion such that in the forward function, the parameter will be updated based on whether the model is under train or eval. Is there any function to get this value? Thanks!
Use the training
attribute. its True
when in train mode and False
when in eval mode.
2 Likes
Thanks. I used “if self.training is True”, and it worked!