If the positive sample and negative sample of each training are corresponding, will it affect the training result

[yeshenpy]

Now the code generates negative samples in advance every time, and then shuffles the order, and then randomly selects from the set of positive and negative samples for training. If I extract certain positive datas for each training and generate the corresponding negative samples, that is, each batch positive sample has the corresponding negative sample, is the training discriminator feasible?