yes! That’s what I want to do.
I want to feed several passages at once in a batch(for example, 64 passages) so I can compute many passage parallelly with my GPU.
But I don’t know how to differentiate the sentences from different passages.
For example: sentence1 and sentence2 are from the passage1, sentence3 and sentence4 are from passage2。
(In each sentence we have the words’ embeddings，
so my input dimensions is [batch_size, sentence_length, word_embedding])
[sentence1,
sentence2,
sentence3,
sentence4]
If I put all sentence in one big matrix(Tensor) and Feed to GRU(Because I want to use the embedding of the passage)
Then the GRU will connect them all together in one line.
sentence1 → sentence2 → sentence3 → sentence4
What I want to do is(1、2 and 3、4 are independent):
sentence1 → sentence2 (For passage1)
sentence3 → sentence4 (For passage2)
But I don’t know how, so I have to write a loop to input every passage once time, which is much slow.
Thanks.