Training data is never used

[GuanxiongLiu]

Below is line 40 and line 45 in model.py. The is_training variable is always set to False without changing based on config.

`

self.is_training = tf.placeholder_with_default(
    tf.constant(False, dtype=tf.bool),
    shape=(), name='is_training'
)

self.enc_inputs, self.dec_targets, self.enc_seq_length, self.dec_seq_length, self.mask = 
    smart_cond(
        self.is_training,
        lambda: (inputs['train'], labels['train'], enc_seq_length['train'],
                 dec_seq_length['train'], mask['train']),
        lambda: (inputs['test'], labels['test'], enc_seq_length['test'],
                 dec_seq_length['test'], mask['test'])
    )

`

[GuanxiongLiu]

Here is my temp fix in model.py. It could run with training command but I never let it finish.

`

is_training = False if config.is_train == 'False' else True
self.is_training = tf.placeholder_with_default(
    tf.constant(is_training, dtype=tf.bool),
    shape=(), name='is_training'
)

`