Traceback (most recent call last):


 "C:\Python\anaconda3\lib\site-packages\spyder\widgets\variableexplorer\dataframeeditor.py", line 295, in data

return to_qvariant(to_text_string(value))


 "C:\Python\anaconda3\lib\site-packages\spyder\py3compat.py", line 140, in to_text_string

return str(obj)


 "C:\Python\anaconda3\lib\site-packages\pandas\core\base.py", line 59, in __str__

return self.__unicode__()


 "C:\Python\anaconda3\lib\site-packages\pandas\core\frame.py", line 636, in __unicode__

line_width=width, show_dimensions=show_dimensions)


 "C:\Python\anaconda3\lib\site-packages\pandas\core\frame.py", line 1675, in to_string

formatter.to_string()


 "C:\Python\anaconda3\lib\site-packages\pandas\io\formats\format.py", line 597, in to_string

strcols = self._to_str_columns()


 "C:\Python\anaconda3\lib\site-packages\pandas\io\formats\format.py", line 537, in _to_str_columns

max_len = max(np.max([self.adj.len(x) for x in fmt_values]),


 "C:\Python\anaconda3\lib\site-packages\numpy\core\fromnumeric.py", line 2320, in amax

out=out, **kwargs)


 "C:\Python\anaconda3\lib\site-packages\numpy\core\_methods.py", line 26, in _amax

return umr_maximum(a, axis, None, out, keepdims)
ValueError: zero-size array to reduction operation maximum which has no identity

Traceback (most recent call last):


 "jukebox/train.py", line 342, in <module>

fire.Fire(run)


 "/home/btrude/Documents/workspace/jukebox/.venv/lib/python3.7/site-packages/fire/core.py", line 127, in Fire

component_trace = _Fire(component, args, context, name)


 "/home/btrude/Documents/workspace/jukebox/.venv/lib/python3.7/site-packages/fire/core.py", line 366, in _Fire

component, remaining_args)


 "/home/btrude/Documents/workspace/jukebox/.venv/lib/python3.7/site-packages/fire/core.py", line 542, in _CallCallable

result = fn(*varargs, **kwargs)


 "jukebox/train.py", line 325, in run

train_metrics = train(distributed_model, model, opt, shd, scalar, ema, logger, metrics, data_processor, hps)


 "jukebox/train.py", line 277, in train

sample_prior(orig_model, ema, logger, x_in, y, hps)


 "jukebox/train.py", line 141, in sample_prior

log_labels(logger, orig_model.labeller, f'sample_x_T1', allgather(y.cuda()), hps)


 "jukebox/train.py", line 36, in log_labels

description = labeller.describe_label(y[item])


 "/home/btrude/Documents/workspace/jukebox/jukebox/data/labels.py", line 92, in describe_label

tokens = y[-self.n_tokens:]
ValueError: not enough values to unpack (expected at least 4, got 0)
