I am using a GPT2 model that outputs logits (before softmax) in the shape (batch_size, num_input_ids, vocab_size) and I need to compare it with the labels that are of shape (batch_size, num_input_ids) to calculate BCELoss. How do I calculate it?
logits = output.logits #--of shape (32, 56, 592)
logits = torch.nn.Softmax()(logits)
labels = labels #---------of shape (32, 56)
torch.nn.BCELoss()(logits, labels)
but the dimensions do not match, so how do I contract logits to labels shape or expand labels to logits shape?