Problem with DeepSpeech2

[fanlamda]

I have an error when running with the DeepSpeech2 model. Any idea with this problem is welcome. I have tried tensorflow version 1.1-1.4. All failed
Traceback (most recent call last):
File "libri_train.py", line 265, in
runner.run()
File "libri_train.py", line 152, in run
model = model_fn(args, maxTimeSteps)
File "build/bdist.linux-x86_64/egg/speechvalley/models/deepSpeech2.py", line 105, in init
File "build/bdist.linux-x86_64/egg/speechvalley/utils/utils.py", line 25, in wrapper
File "build/bdist.linux-x86_64/egg/speechvalley/models/deepSpeech2.py", line 134, in build_graph
File "build/bdist.linux-x86_64/egg/speechvalley/models/deepSpeech2.py", line 44, in build_deepSpeech2
File "/home/fanlei1/anaconda2/lib/python2.7/site-packages/tensorflow/python/layers/normalization.py", line 586, in batch_normalization
return layer.apply(inputs, training=training)
File "/home/fanl/anaconda2/lib/python2.7/site-packages/tensorflow/python/layers/base.py", line 671, in apply
return self.call(inputs, *args, **kwargs)
File "/home/fanl/anaconda2/lib/python2.7/site-packages/tensorflow/python/layers/base.py", line 575, in call
outputs = self.call(inputs, *args, **kwargs)
File "/home/fanl/anaconda2/lib/python2.7/site-packages/tensorflow/python/layers/normalization.py", line 395, in call
return self._fused_batch_norm(inputs, training=training)
File "/home/fanl/anaconda2/lib/python2.7/site-packages/tensorflow/python/layers/normalization.py", line 302, in _fused_batch_norm
training, _fused_batch_norm_training, _fused_batch_norm_inference)
File "/home/fanl/anaconda2/lib/python2.7/site-packages/tensorflow/python/layers/utils.py", line 203, in smart_cond
pred_value = constant_value(pred)
File "/home/fanl/anaconda2/lib/python2.7/site-packages/tensorflow/python/layers/utils.py", line 233, in constant_value
raise TypeError('pred must be a Tensor, a Variable, or a Python bool.')
TypeError: pred must be a Tensor, a Variable, or a Python bool.

[michaelklachko]

DeepSpeech2 model appears to be broken. Your particular error just means that the argument isTraining is not supplied (because it does not exist). But even if you fix this error, there will be plenty more...