a problem in linear_svm.py

[MurphyHanxu]

Epoch 0/9

train - positive_num: 66 - negative_num: 66 - data size: 128 Traceback (most recent call last): File "linear_svm.py", line 274, in best_model = train_model(data_loaders, model, criterion, optimizer, lr_schduler, num_epochs=10, device=device) File "linear_svm.py", line 150, in train_model for inputs, labels, cache_dicts in data_loaders[phase]: File "/usr/local/lib/python3.8/dist-packages/torch/utils/data/dataloader.py", line 435, in iter return self._get_iterator() File "/usr/local/lib/python3.8/dist-packages/torch/utils/data/dataloader.py", line 381, in _get_iterator return _MultiProcessingDataLoaderIter(self) File "/usr/local/lib/python3.8/dist-packages/torch/utils/data/dataloader.py", line 1072, in init self._reset(loader, first_iter=True) File "/usr/local/lib/python3.8/dist-packages/torch/utils/data/dataloader.py", line 1105, in _reset self._try_put_index() File "/usr/local/lib/python3.8/dist-packages/torch/utils/data/dataloader.py", line 1339, in _try_put_index index = self._next_index() File "/usr/local/lib/python3.8/dist-packages/torch/utils/data/dataloader.py", line 618, 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 244, in iter sampler_iter = iter(self.sampler) File "/content/drive/MyDrive/R-CNN/py/utils/data/custom_batch_sampler.py", line 45, in iter random.sample(self.idx_list[self.num_positive:], self.batch_negative)) File "/usr/lib/python3.8/random.py", line 363, in sample raise ValueError("Sample larger than population or is negative") ValueError: Sample larger than population or is negative

how to solve it ?