error in extending cmudict-en-us.dict using g2p-seq2seq along with tensor2tensor and tensorflow.

[Krutika Sarode]

Hi,
I installed g2p using setup.py but while running the interactive command:
/usr/local/bin/g2p-seq2seq --interactive --model_dir g2pdict
i am getting the following error

INFO:tensorflow:Importing user module g2p_seq2seq from path /usr/local/lib/python2.7/dist-packages/g2p_seq2seq-6.2.0a0-py2.7.egg
INFO:tensorflow:Overriding hparams in transformer_base with num_hidden_layers=3,filter_size=512,batch_size=4096,length_bucket_step=1.5,num_heads=4,max_length=30,eval_drop_long_sequences=1,hidden_size=256,min_length_bucket=6
INFO:tensorflow:schedule=train_and_evaluate
INFO:tensorflow:worker_gpu=1
INFO:tensorflow:sync=False
WARNING:tensorflow:Schedule=train_and_evaluate. 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: {'_save_checkpoints_secs': None, '_keep_checkpoint_max': 1, '_task_type': None, '_cluster_spec': <tensorflow.python.training.server_lib.clusterspec object="" at="" 0x7f1316b8c310="">, '_keep_checkpoint_every_n_hours': 1, '_session_config': gpu_options {
per_process_gpu_memory_fraction: 0.95
}
allow_soft_placement: true
graph_options {
optimizer_options {
}
}
, 'use_tpu': False, '_tf_random_seed': None, '_num_worker_replicas': 0, '_task_id': 0, 't2t_device_info': {'num_async_replicas': 1}, '_evaluation_master': '', '_log_step_count_steps': 100, '_num_ps_replicas': 0, '_is_chief': True, '_tf_config': gpu_options {
per_process_gpu_memory_fraction: 1.0
}
, '_save_checkpoints_steps': 409, '_environment': 'local', '_master': '', '_model_dir': 'g2pdict', 'data_parallelism': <tensor2tensor.utils.expert_utils.parallelism object="" at="" 0x7f1316b8c390="">, '_save_summary_steps': 100}
WARNING:tensorflow:Estimator's model_fn (<function wrapping_model_fn="" at="" 0x7f12fd9faaa0="">) includes params argument, but params are not passed to Estimator.
INFO:tensorflow:Using ValidationMonitor
WARNING:tensorflow:From /usr/local/lib/python2.7/dist-packages/tensorflow/contrib/learn/python/learn/monitors.py:267: init (from tensorflow.contrib.learn.python.learn.monitors) is deprecated and will be removed after 2016-12-05.
Instructions for updating:
Monitors are deprecated. Please use tf.train.SessionRunHook.
INFO:tensorflow:Using config: {'_save_checkpoints_secs': None, '_keep_checkpoint_max': 1, '_task_type': None, '_cluster_spec': <tensorflow.python.training.server_lib.clusterspec object="" at="" 0x7f1316b8c310="">, '_keep_checkpoint_every_n_hours': 1, '_session_config': gpu_options {
per_process_gpu_memory_fraction: 0.95
}
allow_soft_placement: true
graph_options {
optimizer_options {
}
}
, 'use_tpu': False, '_tf_random_seed': None, '_num_worker_replicas': 0, '_task_id': 0, 't2t_device_info': {'num_async_replicas': 1}, '_evaluation_master': '', '_log_step_count_steps': 100, '_num_ps_replicas': 0, '_is_chief': True, '_tf_config': gpu_options {
per_process_gpu_memory_fraction: 1.0
}
, '_save_checkpoints_steps': 409, '_environment': 'local', '_master': '', '_model_dir': 'g2pdict', 'data_parallelism': <tensor2tensor.utils.expert_utils.parallelism object="" at="" 0x7f1316b8c390="">, '_save_summary_steps': 100}
WARNING:tensorflow:Estimator's model_fn (<function wrapping_model_fn="" at="" 0x7f12fd92c9b0="">) includes params argument, but params are not passed to Estimator.
Traceback (most recent call last):
File "/usr/local/bin/g2p-seq2seq", line 11, in
load_entry_point('g2p-seq2seq==6.2.0a0', 'console_scripts', 'g2p-seq2seq')()
File "/usr/local/lib/python2.7/dist-packages/g2p_seq2seq-6.2.0a0-py2.7.egg/g2p_seq2seq/app.py", line 118, in main
g2p_model.interactive()
File "/usr/local/lib/python2.7/dist-packages/g2p_seq2seq-6.2.0a0-py2.7.egg/g2p_seq2seq/g2p.py", line 260, in interactive
self.__prepare_interactive_model()
File "/usr/local/lib/python2.7/dist-packages/g2p_seq2seq-6.2.0a0-py2.7.egg/g2p_seq2seq/g2p.py", line 167, in __prepare_interactive_model
input_fn, estimator_lib.model_fn_lib.ModeKeys.PREDICT)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/estimator/estimator.py", line 585, in _get_features_from_input_fn
result = self._call_input_fn(input_fn, mode)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/estimator/estimator.py", line 694, in _call_input_fn
return input_fn(**kwargs)
File "/usr/local/lib/python2.7/dist-packages/g2p_seq2seq-6.2.0a0-py2.7.egg/g2p_seq2seq/g2p.py", line 139, in input_fn
example, self.hparams)
File "/usr/local/lib/python2.7/dist-packages/tensor2tensor-1.6.3-py2.7.egg/tensor2tensor/utils/decoding.py", line 583, in _interactive_input_tensor_to_features_dict
p_hparams = hparams.problem_hparams
AttributeError: 'HParams' object has no attribute 'problem_hparams'</function></tensor2tensor.utils.expert_utils.parallelism></tensorflow.python.training.server_lib.clusterspec></function></tensor2tensor.utils.expert_utils.parallelism></tensorflow.python.training.server_lib.clusterspec>

i have installed python 2.7
tensorflow-1.5.0
g2p_seq2seq-6.2.0a0
tensor2tensor-1.6.3
on ubuntu 18.04 OS , can you tell me what is the issue?