text: Title: error in pretrain an XLNet . train_gpu.py.
  Body: I have successfully  ran  `spm_train \
  	--input=$INPUT \
  	--model_prefix=sp10m.cased.v3 \
  	--vocab_size=32000 \
  	--character_coverage=0.99995 \
  	--model_type=unigram \
  	--control_symbols=<cls>,<sep>,<pad>,<mask>,<eod> \
  	--user_defined_symbols=<eop>,.,(,),",-,–,£,€ \
  	--shuffle_input_sentence \
  	--input_sentence_size=10000000`
  and  `python data_utils.py \
  	--bsz_per_host=32 \
  	--num_core_per_host=16 \
  	--seq_len=512 \
  	--reuse_len=256 \
  	--input_glob=*.txt \
  	--save_dir=${SAVE_DIR} \
  	--num_passes=20 \
  	--bi_data=True \
  	--sp_path=spiece.model \
  	--mask_alpha=6 \
  	--mask_beta=1 \
  	--num_predict=85`.
  
  now when i want to run train_gpu.py :
    `sudo python3 train_gpu.py --record_info_dir=/home/ubuntu/xlnet/training/tfrecords --train_batch_size=2048 --seq_len=512 --reuse_len=256 --mem_len=384 --perm_size=256 --n_layer=24 --d_model=1024 --d_embed=1024 --n_head=16 --d_head=64 --d_inner=4096 --untie_r=True --mask_alpha=6 --mask_beta=1 --num_predict=85 --model_dir=/home/ubuntu/axalimodeli` i have the error:
  
  `/usr/local/lib/python3.5/dist-packages/tensorflow-plugins /home/ubuntu/.local/lib/python3.5/site-packages/tensorflow-plugins /usr/lib/python3/dist-packages/tensorflow-plugins /usr/lib/python3.5/dist-packages/tensorflow-plugins I0702 11:32:34.041983 139935611332352 train_gpu.py:319] n_token 32000 I0702 11:32:34.042275 139935611332352 data_utils.py:795] Use the following tfrecord dirs: ['/home/ubuntu/xlnet/training/tfrecords'] I0702 11:32:34.042413 139935611332352 data_utils.py:799] [0] Record glob: /home/ubuntu/xlnet/training/tfrecords/record_info-train-*.bsz-2048.seqlen-512.reuse-256.bi.alpha-6.beta-1.fnp-85.json I0702 11:32:34.042960 139935611332352 data_utils.py:803] [0] Num of record info path: 0 I0702 11:32:34.043075 139935611332352 data_utils.py:836] [Dir 0] Number of chosen batches: 0 I0702 11:32:34.043182 139935611332352 data_utils.py:838] [Dir 0] Number of chosen files: 0 I0702 11:32:34.043281 139935611332352 data_utils.py:839] [] I0702 11:32:34.043379 139935611332352 data_utils.py:846] Total number of batches: 0 I0702 11:32:34.043897 139935611332352 data_utils.py:848] Total number of files: 0 I0702 11:32:34.044010 139935611332352 data_utils.py:849] [] I0702 11:32:34.044113 139935611332352 train_gpu.py:204] num of batches 0 I0702 11:32:34.044229 139935611332352 data_utils.py:555] Host 0 handles 0 files Traceback (most recent call last): File "train_gpu.py", line 328, in <module> tf.compat.v1.app.run() File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/platform/app.py", line 40, in run _run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef) File "/usr/local/lib/python3.5/dist-packages/absl/app.py", line 300, in run _run_main(main, args) File "/usr/local/lib/python3.5/dist-packages/absl/app.py", line 251, in _run_main sys.exit(main(argv)) File "train_gpu.py", line 324, in main train("/gpu:0") File "train_gpu.py", line 212, in train train_set = train_input_fn(params) File "/home/ubuntu/xlnet/data_utils.py", line 868, in input_fn num_predict=num_predict) File "/home/ubuntu/xlnet/data_utils.py", line 757, in get_dataset bsz_per_core=bsz_per_core) File "/home/ubuntu/xlnet/data_utils.py", line 566, in parse_files_to_dataset dataset = tf.data.TFRecordDataset(dataset) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/data/ops/readers.py", line 335, in __init__ filenames, compression_type, buffer_size, num_parallel_reads) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/data/ops/readers.py", line 295, in __init__ filenames = _create_or_validate_filenames_dataset(filenames) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/data/ops/readers.py", line 50, in _create_or_validate_filenames_dataset "filenamesmust be atf.data.Datasetoftf.stringelements.") TypeError:filenamesmust be atf.data.Datasetoftf.string elements.`
  
  
  Can you help me to solve this case.  data_utils.py make the tfrecords file in this directory '/home/ubuntu/xlnet/training/tfrecords'.