ValueError: use_beamsearch_decode=True

[nengwp]

I used use_beamsearch_decode=True.
ValueError: t must have statically known rank

Use tf.where in 2.0, which has the same broadcast rule as np.where
Traceback (most recent call last):
File "/home/ubuntu/Code/SleepEEGNet/seq2seq_sleep_sleep-EDF-test1.py", line 772, in
tf.app.run()
File "/home/ubuntu/anaconda3/envs/tf1/lib/python3.7/site-packages/tensorflow/python/platform/app.py", line 40, in run
run(main=main, argv=argv, flags_parser=parse_flags_tolerate_undef)
File "/home/ubuntu/anaconda3/envs/tf1/lib/python3.7/site-packages/absl/app.py", line 299, in run
run_main(main, args)
File "/home/ubuntu/anaconda3/envs/tf1/lib/python3.7/site-packages/absl/app.py", line 250, in run_main
sys.exit(main(argv))
File "/home/ubuntu/Code/SleepEEGNet/seq2seq_sleep_sleep-EDF-test1.py", line 770, in main
run_program(hparams,FLAGS)
File "/home/ubuntu/Code/SleepEEGNet/seq2seq_sleep_sleep-EDF-test1.py", line 622, in run_program
logits, pred_outputs, loss, optimizer,dec_states = build_whole_model(hparams,char2numY,inputs,targets, dec_inputs, keep_prob)
File "/home/ubuntu/Code/SleepEEGNet/seq2seq_sleep_sleep-EDF-test1.py", line 390, in build_whole_model
logits, pred_outputs,dec_states = build_network(hparams,char2numY,inputs, dec_inputs, keep_prob)
File "/home/ubuntu/Code/SleepEEGNet/seq2seq_sleep_sleep-EDF-test1.py", line 294, in build_network
encoder_state = tf.contrib.seq2seq.tile_batch(encoder_state, multiplier=hparams.beam_width)
File "/home/ubuntu/anaconda3/envs/tf1/lib/python3.7/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/ubuntu/anaconda3/envs/tf1/lib/python3.7/site-packages/tensorflow/python/util/nest.py", line 515, in map_structure
structure[0], [func(*x) for x in entries],
File "/home/ubuntu/anaconda3/envs/tf1/lib/python3.7/site-packages/tensorflow/python/util/nest.py", line 515, in
structure[0], [func(*x) for x in entries],
File "/home/ubuntu/anaconda3/envs/tf1/lib/python3.7/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/ubuntu/anaconda3/envs/tf1/lib/python3.7/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