ValueError: please enter a valid model to train: ['Tacotron', 'WaveNet', 'Tacotron-2']

[xionghan1]

(task) E:\tensorflow\Tacotron-2>python train.py --model='Tacotron-2'
WARNING:tensorflow:
The TensorFlow contrib module will not be included in TensorFlow 2.0.
For more information, please see:

• https://github.com/tensorflow/community/blob/master/rfcs/20180907-contrib-sunset.md
• https://github.com/tensorflow/addons
• https://github.com/tensorflow/io (for I/O related ops)
  If you depend on functionality not listed there, please file an issue.

Traceback (most recent call last):
File "train.py", line 138, in
main()
File "train.py", line 123, in main
raise ValueError('please enter a valid model to train: {}'.format(accepted_models))
ValueError: please enter a valid model to train: ['Tacotron', 'WaveNet', 'Tacotron-2']

I don‘t modify any code, why ? Preprocessing can be performed well
tensorflow 1.14
numpy 1.15

[xionghan1]

it can be performed when I add a quotation mark......
(task) E:\tensorflow\Tacotron-2>python train.py --model="Tacotron-2"
WARNING:tensorflow:
The TensorFlow contrib module will not be included in TensorFlow 2.0.
For more information, please see:

• https://github.com/tensorflow/community/blob/master/rfcs/20180907-contrib-sunset.md
• https://github.com/tensorflow/addons
• https://github.com/tensorflow/io (for I/O related ops)
  If you depend on functionality not listed there, please file an issue.

WARNING:tensorflow:From E:\tensorflow\Tacotron-2\tacotron\models\modules.py:81: The name tf.nn.rnn_cell.RNNCell is deprecated. Please use tf.compat.v1.nn.rnn_cell.RNNCell instead.

Using TensorFlow backend.
WARNING:tensorflow:From E:\tensorflow\Tacotron-2\wavenet_vocoder\models\modules.py:539: The name tf.layers.Conv2D is deprecated. Please use tf.compat.v1.layers.Conv2D instead.

WARNING:tensorflow:From E:\tensorflow\Tacotron-2\wavenet_vocoder\models\modules.py:697: The name tf.layers.Conv2DTranspose is deprecated. Please use tf.compat.v1.layers.Conv2DTranspose instead.

#############################################################

Tacotron Train

###########################################################

Checkpoint path: logs-Tacotron-2\taco_pretrained\tacotron_model.ckpt
Loading training data from: training_data/train.txt
Using model: Tacotron-2
Hyperparameters:
GL_on_GPU: True
NN_init: True
NN_scaler: 0.3
allow_clipping_in_normalization: True
attention_dim: 128
attention_filters: 32
attention_kernel: (31,)
attention_win_size: 7
batch_norm_position: after
cbhg_conv_channels: 128
cbhg_highway_units: 128
......

but it still has errors,

Errors may have originated from an input operation.
Input Source operations connected to node datafeeder/input_queue_enqueue:
datafeeder/input_queue (defined at E:\tensorflow\Tacotron-2\tacotron\feeder.py:85)
datafeeder/split_infos (defined at E:\tensorflow\Tacotron-2\tacotron\feeder.py:81)
datafeeder/targets_lengths (defined at E:\tensorflow\Tacotron-2\tacotron\feeder.py:80)
datafeeder/input_lengths (defined at E:\tensorflow\Tacotron-2\tacotron\feeder.py:76)
datafeeder/token_targets (defined at E:\tensorflow\Tacotron-2\tacotron\feeder.py:78)
datafeeder/inputs (defined at E:\tensorflow\Tacotron-2\tacotron\feeder.py:75)
datafeeder/linear_targets (defined at E:\tensorflow\Tacotron-2\tacotron\feeder.py:79)
datafeeder/mel_targets (defined at E:\tensorflow\Tacotron-2\tacotron\feeder.py:77)

Original stack trace for 'datafeeder/input_queue_enqueue':
File "train.py", line 138, in
main()
File "train.py", line 132, in main
train(args, log_dir, hparams)
File "train.py", line 52, in train
checkpoint = tacotron_train(args, log_dir, hparams)
File "E:\tensorflow\Tacotron-2\tacotron\train.py", line 399, in tacotron_train
return train(log_dir, args, hparams)
File "E:\tensorflow\Tacotron-2\tacotron\train.py", line 152, in train
feeder = Feeder(coord, input_path, hparams)
File "E:\tensorflow\Tacotron-2\tacotron\feeder.py", line 86, in init
self._enqueue_op = queue.enqueue(self._placeholders)
File "C:\Users\lenovo.conda\envs\task\lib\site-packages\tensorflow\python\ops\data_flow_ops.py", line 345, in enqueue
self._queue_ref, vals, name=scope)
File "C:\Users\lenovo.conda\envs\task\lib\site-packages\tensorflow\python\ops\gen_data_flow_ops.py", line 4410, in queue_enqueue_v2
timeout_ms=timeout_ms, name=name)
File "C:\Users\lenovo.conda\envs\task\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 788, in _apply_op_helper
op_def=op_def)
File "C:\Users\lenovo.conda\envs\task\lib\site-packages\tensorflow\python\util\deprecation.py", line 507, in new_func
return func(*args, **kwargs)
File "C:\Users\lenovo.conda\envs\task\lib\site-packages\tensorflow\python\framework\ops.py", line 3616, in create_op
op_def=op_def)
File "C:\Users\lenovo.conda\envs\task\lib\site-packages\tensorflow\python\framework\ops.py", line 2005, in init
self._traceback = tf_stack.extract_stack()

Traceback (most recent call last):
File "train.py", line 138, in
main()
File "train.py", line 132, in main
train(args, log_dir, hparams)
File "train.py", line 57, in train
raise('Error occured while training Tacotron, Exiting!')
TypeError: exceptions must derive from BaseException

[xionghan1]

set batch_size=4; in hparams.py