Traceback (most recent call last):


 "G:/pytorchfenge/Unet-Segmentation-Pytorch-Nest-of-Unets-master/Unet-Segmentation-Pytorch-Nest-of-Unets-master/pytorch_run.py", line 256, in <module>

for x, y in train_loader:


 "D:\Anaconda3\envs\pytorchs\lib\site-packages\torch\utils\data\dataloader.py", line 576, in __next__

idx, batch = self._get_batch()


 "D:\Anaconda3\envs\pytorchs\lib\site-packages\torch\utils\data\dataloader.py", line 543, in _get_batch

success, data = self._try_get_batch()


 "D:\Anaconda3\envs\pytorchs\lib\site-packages\torch\utils\data\dataloader.py", line 519, in _try_get_batch

raise RuntimeError('DataLoader worker (pid(s) {}) exited unexpectedly'.format(pids_str))
RuntimeError: DataLoader worker (pid(s) 14356, 9092, 1384, 1152) exited unexpectedly

Traceback (most recent call last):


 "main.py", line 440, in <module>

train_loss, iterations = train(args=args, epoch=epoch, start_iteration=global_iteration, data_loader=train_loader, model=model_and_loss, optimizer=optimizer, logger=train_logger, offset=offset)


 "main.py", line 263, in train

for batch_idx, (data, target) in enumerate(progress):


 "/usr/local/lib/python3.6/dist-packages/tqdm/_tqdm.py", line 897, in __iter__

for obj in iterable:


 "/content/flownet2pytorch/utils/tools.py", line 111, in __next__

n = next(self.iterator)


 "/usr/local/lib/python3.6/dist-packages/torch/utils/data/dataloader.py", line 819, in __next__

return self._process_data(data)


 "/usr/local/lib/python3.6/dist-packages/torch/utils/data/dataloader.py", line 846, in _process_data

data.reraise()


 "/usr/local/lib/python3.6/dist-packages/torch/_utils.py", line 369, in reraise

raise self.exc_type(msg)
RuntimeError: Caught RuntimeError in DataLoader worker process 0.
