BCELoss between logits and labels not working
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 contractlogitstolabelsshape or expandlabelstologitsshape?