Missing hyperparams example for newly trained top-level prior about jukebox HOT 3 CLOSED

/jukebox# python jukebox/sample.py --model=my_model --name=sample_my_model --levels=3 --sample_length_in_seconds=20 --tot
al_sample_length_in_seconds=180 --sr=44100 --n_samples=6 --hop_fraction=0.5,0.5,0.125
Using cuda True
{'name': 'sample_my_model', 'levels': 3, 'sample_length_in_seconds': 20, 'total_sample_length_in_seconds': 180, 'sr': 44100, 'n_sample
s': 6, 'hop_fraction': (0.5, 0.5, 0.125)}
Setting sample length to 440832 (i.e. 19.99238095238095 seconds) to be multiple of 256
0: Loading vqvae in eval mode
Conditioning on 1 above level(s)
Checkpointing convs
Level:0, Cond downsample:2, Raw to tokens:2, Sample length:16384
0: Loading prior in eval mode
Conditioning on 1 above level(s)
Level:0, Cond downsample:2, Raw to tokens:2, Sample length:16384
0: Loading prior in eval mode
Traceback (most recent call last):
  File "jukebox/sample.py", line 275, in <module>
    fire.Fire(run)
  File "/opt/miniconda/lib/python3.7/site-packages/fire/core.py", line 127, in Fire
    component_trace = _Fire(component, args, context, name)
  File "/opt/miniconda/lib/python3.7/site-packages/fire/core.py", line 366, in _Fire
    component, remaining_args)
  File "/opt/miniconda/lib/python3.7/site-packages/fire/core.py", line 542, in _CallCallable
    result = fn(*varargs, **kwargs)
  File "jukebox/sample.py", line 272, in run
    save_samples(model, device, hps, sample_hps)
  File "jukebox/sample.py", line 223, in save_samples
    labels = [prior.labeller.get_batch_labels(metas, 'cuda') for prior in priors ]
  File "jukebox/sample.py", line 223, in <listcomp>
    labels = [prior.labeller.get_batch_labels(metas, 'cuda') for prior in priors ]
  File "/opt/miniconda/lib/python3.7/site-packages/torch/nn/modules/module.py", line 576, in __getattr__
    type(self).__name__, name))
AttributeError: 'SimplePrior' object has no attribute 'labeller'
/jukebox#