TODO list for RNN search.
Created by: lcy-seso
-
enhance the
reorder_lod_tensor_by_rank operator
. PR https://github.com/PaddlePaddle/Paddle/pull/7251 -
add the external memory (the static input in old PaddlePaddle) to
dynamicRNN
. PR https://github.com/PaddlePaddle/Paddle/pull/7434 - make the RNN search model successfully run on Fluid.
-
test the RNN encoder-decoder without attention (This is another test case for
reorder_lod_tensor_by_rank operator
, so it should be tested also). - enhance the documentation of operators used in RNN Search.
- debug and unittest the beam search related operators. @jacquesqiao is working on this, related PR (WIP) https://github.com/PaddlePaddle/Paddle/pull/7340 .
- wrapper the beam search: issue https://github.com/PaddlePaddle/Paddle/issues/6900 .
- provide a more friendly Python wrapper which unifies training and generating sequences.