yolopose远程AutoDL训练报错，该怎么办？
Traceback (most recent call last):
File "train.py", line 563, in <module>
train(hyp, opt, device, tb_writer)
File "train.py", line 222, in train
plot_labels(labels, names, save_dir, loggers)
File "/root/yolov7-pose/utils/plots.py", line 369, in plot_labels
sns.pairplot(x, corner=True, diag_kind='auto', kind='hist', diag_kws=dict(bins=50), plot_kws=dict(pmax=0.9))
File "/root/miniconda3/lib/python3.8/site-packages/seaborn/_decorators.py", line 46, in inner_f
return f(**kwargs)
File "/root/miniconda3/lib/python3.8/site-packages/seaborn/axisgrid.py", line 2126, in pairplot
grid.map_diag(histplot, **diag_kws)
File "/root/miniconda3/lib/python3.8/site-packages/seaborn/axisgrid.py", line 1478, in map_diag
func(x=vector, **plot_kwargs)
File "/root/miniconda3/lib/python3.8/site-packages/seaborn/distributions.py", line 1462, in histplot
p.plot_univariate_histogram(
File "/root/miniconda3/lib/python3.8/site-packages/seaborn/distributions.py", line 428, in plot_univariate_histogram
for sub_vars, sub_data in self.iter_data("hue", from_comp_data=True):
File "/root/miniconda3/lib/python3.8/site-packages/seaborn/_core.py", line 983, in iter_data
data = self.comp_data
File "/root/miniconda3/lib/python3.8/site-packages/seaborn/_core.py", line 1054, in comp_data
with pd.option_context('mode.use_inf_as_null', True):
File "/root/miniconda3/lib/python3.8/site-packages/pandas/_config/config.py", line 441, in __enter__
self.undo = [(pat, _get_option(pat, silent=True)) for pat, val in self.ops]
File "/root/miniconda3/lib/python3.8/site-packages/pandas/_config/config.py", line 441, in <listcomp>
self.undo = [(pat, _get_option(pat, silent=True)) for pat, val in self.ops]
File "/root/miniconda3/lib/python3.8/site-packages/pandas/_config/config.py", line 135, in _get_option
key = _get_single_key(pat, silent)
File "/root/miniconda3/lib/python3.8/site-packages/pandas/_config/config.py", line 121, in _get_single_key
raise OptionError(f"No such keys(s): {repr(pat)}")
pandas._config.config.OptionError: "No such keys(s): 'mode.use_inf_as_null'"
标签格式是这样的
0 0.505317 0.524075 0.426239 0.802417 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.353316 0.285838 2.000000 0.573342 0.292106 2.000000 0.370778 0.369414 2.000000 0.52794 0.378816 2.000000 0.383002 0.404933 2.000000 0.447613 0.440453 2.000000 0.400464 0.481196 2.000000 0.582073 0.467615 2.000000 0.402211 0.666106 2.000000 0.526194 0.659838 2.000000 0.423166 0.851016 2.000000 0.52794 0.866687 2.000000 0.465075 0.229425 2.000000
