A better explanation about the n tensor

[celsofranssa]

The input to an LTR loss function comprises three tensors:

scores: a tensor of size (batch_size, number of scores) relevance: a tensor of size (batch_size, number of relevance scores) n: a tensor of size (batch_size) ( the number of docs per learning instance)

Could you provide a better explanation of n?