Tensor2tensor: AttributeError: 'HParams' object has no attribute 'problem_hparams'

[h-karami]

Dear all
After train my model, run this command:
t2t-decoder
--data_dir=Language_modelingt2t_data
--problems=languagemodel_ptb10k
--model=universal_transformer
--hparams_set=universal_transformer_tiny
--hparams='sampling_method=random'
--output_dir=Language_modeling/t2t_train
--decode_hparams="beam_size=4,alpha=0.6"
--decode_from_file=Language_modeling/ref-translation.de
--decode_to_file=Language_modeling/translation.en

But get this error:
INFO:tensorflow:Overriding hparams in transformer_tiny with sampling_method=random
WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensor2tensor/utils/trainer_lib.py:198: RunConfig.__init__ (from tensorflow.contrib.learn.python.learn.estimators.run_config) is deprecated and will be removed in a future version.
Instructions for updating:
When switching to tf.estimator.Estimator, use tf.estimator.RunConfig instead.
INFO:tensorflow:schedule=continuous_train_and_eval
INFO:tensorflow:worker_gpu=1
INFO:tensorflow:sync=False
WARNING:tensorflow:Schedule=continuous_train_and_eval. Assuming that training is running on a single machine.
INFO:tensorflow:datashard_devices: ['gpu:0']
INFO:tensorflow:caching_devices: None
INFO:tensorflow:ps_devices: ['gpu:0']
INFO:tensorflow:Using config: {'_task_type': None, '_task_id': 0, '_cluster_spec': , '_master': '', '_num_ps_replicas': 0, '_num_worker_replicas': 0, '_environment': 'local', '_is_chief': True, '_evaluation_master': '', '_train_distribute': None, '_eval_distribute': None, '_device_fn': None, '_tf_config': gpu_options {
per_process_gpu_memory_fraction: 1.0
}
, '_tf_random_seed': None, '_save_summary_steps': 100, '_save_checkpoints_secs': None, '_log_step_count_steps': 100, '_protocol': None, '_session_config': gpu_options {
per_process_gpu_memory_fraction: 0.95
}
allow_soft_placement: true
graph_options {
optimizer_options {
}
}
, '_save_checkpoints_steps': 1000, '_keep_checkpoint_max': 20, '_keep_checkpoint_every_n_hours': 10000, '_model_dir': 'Language_modeling/t2t_train', 'use_tpu': False, 't2t_device_info': {'num_async_replicas': 1}, 'data_parallelism': }
WARNING:tensorflow:Estimator's model_fn (.wrapping_model_fn at 0x7ff712389268>) includes params argument, but params are not passed to Estimator.
INFO:tensorflow:decode_hp.batch_size not specified; default=32
Traceback (most recent call last):
File "/usr/local/bin/t2t-decoder", line 17, in
tf.app.run()
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/platform/app.py", line 125, in run
_sys.exit(main(argv))
File "/usr/local/bin/t2t-decoder", line 12, in main
t2t_decoder.main(argv)
File "/usr/local/lib/python3.6/dist-packages/tensor2tensor/bin/t2t_decoder.py", line 190, in main
decode(estimator, hp, decode_hp)
File "/usr/local/lib/python3.6/dist-packages/tensor2tensor/bin/t2t_decoder.py", line 90, in decode
checkpoint_path=FLAGS.checkpoint_path)
File "/usr/local/lib/python3.6/dist-packages/tensor2tensor/utils/decoding.py", line 333, in decode_from_file
p_hp = hparams.problem_hparams
AttributeError: 'HParams' object has no attribute 'problem_hparams'

Can anyone help?

[lkluo]

What is your t2t version? Give a try to replace --problems with --problem.

[h-karami]

@lkluo thank you for the reply
I replaced the problems with problem and this error was fixed but I encountered some other errors.
For fixed all errors, I had to change t2t to version 1.8 and "hparams_set=universal_transformer_tiny" to "hparams_set=universal_transformer_base".