您好，博主，我运行了您的代码，环境都调试完成了，但出现了一个报错，
Trainable parameters: 3805152 Traceback (most recent call last): File "train.py", line 92, in <module> main(config) File "train.py", line 73, in main trainer.train() File "/hy-tmp/AutomaticHeartSoundClassification/base/base_trainer.py", line 63, in train result = self._train_epoch(epoch) File "/hy-tmp/AutomaticHeartSoundClassification/trainer/trainer.py", line 44, in _train_epoch for batch_idx, (data, target) in enumerate(self.data_loader): File "/usr/local/lib/python3.8/dist-packages/torch/utils/data/dataloader.py", line 359, in __iter__ return self._get_iterator() File "/usr/local/lib/python3.8/dist-packages/torch/utils/data/dataloader.py", line 305, in _get_iterator return _MultiProcessingDataLoaderIter(self) File "/usr/local/lib/python3.8/dist-packages/torch/utils/data/dataloader.py", line 944, in __init__ self._reset(loader, first_iter=True) File "/usr/local/lib/python3.8/dist-packages/torch/utils/data/dataloader.py", line 975, in _reset self._try_put_index() File "/usr/local/lib/python3.8/dist-packages/torch/utils/data/dataloader.py", line 1209, in _try_put_index index = self._next_index() File "/usr/local/lib/python3.8/dist-packages/torch/utils/data/dataloader.py", line 512, in _next_index return next(self._sampler_iter) # may raise StopIteration File "/usr/local/lib/python3.8/dist-packages/torch/utils/data/sampler.py", line 229, in __iter__ for idx in self.sampler: File "/hy-tmp/AutomaticHeartSoundClassification/data_loader/data_loaders.py", line 111, in __iter__ self._resample() File "/hy-tmp/AutomaticHeartSoundClassification/data_loader/data_loaders.py", line 107, in _resample random_idxs = np.random.randint(leng, size=leftover) File "mtrand.pyx", line 747, in numpy.random.mtrand.RandomState.randint File "_bounded_integers.pyx", line 1254, in numpy.random._bounded_integers._rand_int64 ValueError: low >= high
我 的数据集就是官网的心音数据集，然后把a-f全部的wav文件放在一个文件夹里面，然后设置了一个label.csv文件
还是报错
您好，博主，我运行了您的代码，环境都调试完成了，但出现了一个报错，
Trainable parameters: 3805152 Traceback (most recent call last): File "train.py", line 92, in <module> main(config) File "train.py", line 73, in main trainer.train() File "/hy-tmp/AutomaticHeartSoundClassification/base/base_trainer.py", line 63, in train result = self._train_epoch(epoch) File "/hy-tmp/AutomaticHeartSoundClassification/trainer/trainer.py", line 44, in _train_epoch for batch_idx, (data, target) in enumerate(self.data_loader): File "/usr/local/lib/python3.8/dist-packages/torch/utils/data/dataloader.py", line 359, in __iter__ return self._get_iterator() File "/usr/local/lib/python3.8/dist-packages/torch/utils/data/dataloader.py", line 305, in _get_iterator return _MultiProcessingDataLoaderIter(self) File "/usr/local/lib/python3.8/dist-packages/torch/utils/data/dataloader.py", line 944, in __init__ self._reset(loader, first_iter=True) File "/usr/local/lib/python3.8/dist-packages/torch/utils/data/dataloader.py", line 975, in _reset self._try_put_index() File "/usr/local/lib/python3.8/dist-packages/torch/utils/data/dataloader.py", line 1209, in _try_put_index index = self._next_index() File "/usr/local/lib/python3.8/dist-packages/torch/utils/data/dataloader.py", line 512, in _next_index return next(self._sampler_iter) # may raise StopIteration File "/usr/local/lib/python3.8/dist-packages/torch/utils/data/sampler.py", line 229, in __iter__ for idx in self.sampler: File "/hy-tmp/AutomaticHeartSoundClassification/data_loader/data_loaders.py", line 111, in __iter__ self._resample() File "/hy-tmp/AutomaticHeartSoundClassification/data_loader/data_loaders.py", line 107, in _resample random_idxs = np.random.randint(leng, size=leftover) File "mtrand.pyx", line 747, in numpy.random.mtrand.RandomState.randint File "_bounded_integers.pyx", line 1254, in numpy.random._bounded_integers._rand_int64 ValueError: low >= high我 的数据集就是官网的心音数据集，然后把a-f全部的wav文件放在一个文件夹里面，然后设置了一个label.csv文件
还是报错