Reading PyTorch docs BCEWithLogitsLoss 42 I have found:

where c is the class number (c > 1 for multi-label binary classification, c = 1 for single-label binary classification), nn is the number of the sample in the batch and p_cp c is the weight of the positive answer for the class cc .

What is the  multi-label  binary classification? Binary assume only two labels AFIK