Transformers, Pytorch, Machine Learning, Deep Dives, Data Science.
covered at the end) if attention_mask is not None: if attention_mask.dim() == 2: assert attention_mask.size() == (tgt_len, src_len) attention_mask = attention_mask.unsqueeze(0) logits = logits + attention_mask Positional Encoding It corresponds to the following part of the Transformer: When