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Hi, i am wonder about this loss: class_loss = class_criterion(class_logit, target_var) / minibatch_size
since this loss ignore some samples(no_lable), why here still use the minibatch_size not the labeled_size?
The text was updated successfully, but these errors were encountered:
Hi, i am wonder about this loss:
class_loss = class_criterion(class_logit, target_var) / minibatch_size
since this loss ignore some samples(no_lable), why here still use the minibatch_size not the labeled_size?
The text was updated successfully, but these errors were encountered: