JasonMarz1

seq_emb = tf.nn.embedding_lookup(embeddings, seq_ids) # shape(batch_size, max_seq_len, embedding_size) tid_emb = tf.nn.embedding_lookup(embeddings, tid) # shape(batch_size, embedding_size) max_seq_len = tf.shape(seq_ids)[1] # padded_dim u_emb = tf.reshape(seq_emb, shape=[-1, embedding_size]) a_emb = tf.reshape(tf.tile(tid_emb, [1, max_seq_len]),...