Hi, guys, I have a question about using LSTM. The data set includes many word sequences, each word sequence is a sentence. There are two  way using LSTM. One is that: input a 3D tensor with the size:sentence_length * 1 * word_embedding_length; Another is that: using a for loop, in the loop, each time input a 3D tensor with the size: 1 * 1 * word_embedding_length. Could someone tell me the difference between these two ways? Are these ways equivalent?