BertTokenizer's encode_plus returns 2d tensor when printing 'input_ids'/ 'attention_mask'
When using BertTokenizer’s encode_plus, why does tokenized[‘input_ids’] return a 2d tensor?I understand when batch_encode_plus does the same(an extra dimension for containing the batch size).But what’s the purpose of returning a 2d tensor in encode_plus? The returned tensor size is of the form [1,N].