generator = Generator(model) in demo produces error

[denisfitz57]

when running the demo using tensorflow .10, python 3.5 (anaconda), commit 20485a2 I get the following :

Make Generator.

TypeError Traceback (most recent call last)
in ()
----> 1 generator = Generator(model)

/home/denis/fast-wavenet/wavenet/models.py in init(self, model, batch_size, input_size)
99 count += 1
100
--> 101 outputs = _output_linear(h)
102
103 out_ops = [tf.argmax(tf.nn.softmax(outputs), 1)]

/home/denis/fast-wavenet/wavenet/layers.py in _output_linear(h, name)
170
171 def _output_linear(h, name=''):
--> 172 with tf.variable_scope(name, reuse=True):
173 w = tf.get_variable('w')[0, :, :]
174 b = tf.get_variable('b')

/home/denis/anaconda3/lib/python3.5/contextlib.py in enter(self)
57 def enter(self):
58 try:
---> 59 return next(self.gen)
60 except StopIteration:
61 raise RuntimeError("generator didn't yield") from None

/home/denis/anaconda3/lib/python3.5/site-packages/tensorflow/python/ops/variable_scope.py in variable_scope(name_or_scope, default_name, values, initializer, regularizer, caching_device, partitioner, custom_getter, reuse, dtype)
1350 """
1351 if default_name is None and not name_or_scope:
-> 1352 raise TypeError("If default_name is None then name_or_scope is required")
1353 if values is None:
1354 values = []

TypeError: If default_name is None then name_or_scope is required

[tomlepaine]

Do you still have this error with the newest updates? Also I haven't tested this with python 3. Can you try using it with python 2.7?

[jkyl]

I encounter an identical error with the latest version of fast-wavenet and python2.7. Will update if I find a fix.

[giovannic]

This is likely a tensorflow backward-compatibility issue: tensorflow/tensorflow#4576

[bhtucker]

I also have this issue.

I don't know TF that well but this looks pretty solvable by simply giving a name to the variable scope where the output tensor is created. Not sure what else needs to be in that scope, though.

Would happily pair with someone to make a workaround!

[bhtucker]

I've put up a PR that works on Python 2.7 and TF 0.11.0.

I'll test it this evening on Python 3.5, but this fix makes sense with the TF issue @giovannic posted, so there shouldn't be any language version differences.

[ishandutta2007]

@bhtucker @denisfitz57 @giovannic @jkyl if you have succeeded in training it and have the model with you can you please share the model.