Hi,
When I use the data loader,  I have met the following error: Too many open files.
In my implementation of the Dataset, I use torch.load(‘xxx’) to load the data files (which are all tensors stored on disks), and when call getitem(self, index), it will take the corresponding items from the tensor, and return it.
I construct the dalaloader in the following manner:

dataset = Dataset(xxxxx)
dataLoader = torch.utils.data.DataLoader(dataset=dataset, batch_size=batchSize, shuffle=shuffle,
num_workers = numWorkers, collate_fn=dataset.collate_fn)

The details of the error are in below:

0:     referTypes, nNodes, featureIds, sIds) in enumerate(dataloader):
0:   File “/u/home/home/anaconda2/lib/python2.7/site-packages/torch/utils/data/dataloader.py”, line 195, in next
0:     idx, batch = self.data_queue.get()
0:   File “/u/home/home/anaconda2/lib/python2.7/multiprocessing/queues.py”, line 378, in get
0:     return recv()
0:   File “/u/home/home/anaconda2/lib/python2.7/site-packages/torch/multiprocessing/queue.py”, line 22, in recv
0:     return pickle.loads(buf)
0:   File “/u/home/home/anaconda2/lib/python2.7/pickle.py”, line 1388, in loads
0:     return Unpickler(file).load()
0:   File “/u/home/home/anaconda2/lib/python2.7/pickle.py”, line 864, in load
0:     dispatchkey
0:   File “/u/home/home/anaconda2/lib/python2.7/pickle.py”, line 1139, in load_reduce
0:     value = func(*args)
0:   File “/u/home/home/anaconda2/lib/python2.7/site-packages/torch/multiprocessing/reductions.py”, line 68, in rebuild_storage_fd
0:     fd = multiprocessing.reduction.rebuild_handle(df)
0:   File “/u/home/home/anaconda2/lib/python2.7/multiprocessing/reduction.py”, line 155, in rebuild_handle
0:     conn = Client(address, authkey=current_process().authkey)
0:   File “/u/home/home/anaconda2/lib/python2.7/multiprocessing/connection.py”, line 169, in Client
0:     c = SocketClient(address)
0:   File “/u/home/home/anaconda2/lib/python2.7/multiprocessing/connection.py”, line 320, in SocketClient
0:     fd = duplicate(s.fileno())
0: OSError: [Errno 24] Too many open files

Thanks!