Issue with using Beam Search Algorithm

[Maplexc]

When setting the use_beamsearch_decode=True, it shows the ValueError: t must have statically known rank.

File "seq2seq_sleep_sleep-EDF.py", line 755, in main
run_program(hparams,FLAGS)
File "seq2seq_sleep_sleep-EDF.py", line 607, in run_program
logits, pred_outputs, loss, optimizer,dec_states = build_whole_model(hparams,char2numY,inputs,targets, dec_inputs, keep_prob_)
File "seq2seq_sleep_sleep-EDF.py", line 385, in build_whole_model
logits, pred_outputs,dec_states = build_network(hparams,char2numY,inputs, dec_inputs, keep_prob_)
File "seq2seq_sleep_sleep-EDF.py", line 295, in build_network
encoder_state = tf.contrib.seq2seq.tile_batch(encoder_state, multiplier=hparams.beam_width)
File "/home/Student/s4518991/.local/lib/python3.6/site-packages/tensorflow/contrib/seq2seq/python/ops/beam_search_decoder.py", line 126, in tile_batch
return nest.map_structure(lambda t_: tile_batch(t, multiplier), t)
File "/home/Student/s4518991/.local/lib/python3.6/site-packages/tensorflow/python/util/nest.py", line 515, in map_structure
structure[0], [func(*x) for x in entries],
File "/home/Student/s4518991/.local/lib/python3.6/site-packages/tensorflow/python/util/nest.py", line 515, in
structure[0], [func(*x) for x in entries],
File "/home/Student/s4518991/.local/lib/python3.6/site-packages/tensorflow/contrib/seq2seq/python/ops/beam_search_decoder.py", line 126, in
return nest.map_structure(lambda t_: tile_batch(t, multiplier), t)
File "/home/Student/s4518991/.local/lib/python3.6/site-packages/tensorflow/contrib/seq2seq/python/ops/beam_search_decoder.py", line 85, in _tile_batch
raise ValueError("t must have statically known rank")
ValueError: t must have statically known rank

[nengwp]

设置use_beamsearch_decode = True时，它显示ValueError：t必须具有静态已知的等级。

在主
run_program（hparams，FLAGS）中的行755中的
文件“ seq2seq_sleep_sleep-EDF.py”，在运行程序
logits中的行“ seq2seq_sleep_sleep-EDF.py”，行607 ，pred_outputs，loss，optimizer，dec_states = build_whole_model（hparams，char2numY输入，目标，dec_inputs，keep_prob_）
文件“ seq2seq_sleep_sleep-EDF.py”，第385行，在build_whole_model
logits中，pred_outputs，dec_states = build_network（hparams，char2numY，inputs，dec_inputs，keep_prob_）
文件“ seq2ED-seq_sleep”。 295，位于build_network编码器状态
= tf.contrib.seq2seq.tile_batch（encoder_state，multiplier = hparams.beam_width）
文件“ /home/Student/s4518991/.local/lib/python3.6/site-packages/tensorflow/contrib/seq2seq/ python / ops / beam_search_decoder.py”，第126行，在tile_batch中
返回nest.map_structure（lambda t_：tile_batch（t，multiplier），t）
文件“ /home/Student/s4518991/.local/lib/python3.6/site-packages/tensorflow/python/util/nest.py”，第515行，在map_structure
结构[0]中，[项中的x为func（* x）]，
文件“ /home/Student/s4518991/.local/lib/python3.6/site-packages/tensorflow/python/util/ nest.py”，第515行，位于
结构[0]中，[用于x项的func（* x）]，
文件“ /home/Student/s4518991/.local/lib/python3.6/site-packages/tensorflow/ contrib / seq2seq / python / ops / beam_search_decoder.py“，第126行，
返回nest.map_structure（lambda t_：tile_batch（t，multiplier），t）
_tile_batch中的文件“ /home/Student/s4518991/.local/lib/python3.6/site-packages/tensorflow/contrib/seq2seq/python/ops/beam_search_decoder.py”第85行
提高ValueError（“ t必须静态已知等级”）
ValueError：t必须具有静态已知等级

I encountered the same difficulty, did you solve this problem, and if it solves, can you share the solution?