Preds returned is a tuple of float tensors

[WeeHyongTok]

get model predictions for the current batch

preds = model(sent_id, mask)

# compute the loss between actual and predicted values
loss = cross_entropy(preds, labels)

When train is invoked , I see the following error - AttributeError: 'tuple' object has no attribute 'dim'