在何处执行以下操作:
import torch.multiprocessing
torch.multiprocessing.set_sharing_strategy('file_system')
假设由每个进程运行,还是只由主进程运行
Traceback (most recent call last):
File "/var/spool/pbs/mom_priv/jobs/486213.iam-pbs.SC", line 321, in <module>
main_distributed()
File "/var/spool/pbs/mom_priv/jobs/486213.iam-pbs.SC", line 239, in main_distributed
mp.spawn(fn=parallel_train, args=(opts,), nprocs=opts.world_size)
File "/homes/miranda9/.conda/envs/automl-meta-learning/lib/python3.8/site-packages/torch/multiprocessing/spawn.py", line 199, in spawn
return start_processes(fn, args, nprocs, join, daemon, start_method='spawn')
File "/homes/miranda9/.conda/envs/automl-meta-learning/lib/python3.8/site-packages/torch/multiprocessing/spawn.py", line 148, in start_processes
process.start()
File "/homes/miranda9/.conda/envs/automl-meta-learning/lib/python3.8/multiprocessing/process.py", line 121, in start
self._popen = self._Popen(self)
File "/homes/miranda9/.conda/envs/automl-meta-learning/lib/python3.8/multiprocessing/context.py", line 283, in _Popen
return Popen(process_obj)
File "/homes/miranda9/.conda/envs/automl-meta-learning/lib/python3.8/multiprocessing/popen_spawn_posix.py", line 32, in __init__
super().__init__(process_obj)
File "/homes/miranda9/.conda/envs/automl-meta-learning/lib/python3.8/multiprocessing/popen_fork.py", line 19, in __init__
self._launch(process_obj)
File "/homes/miranda9/.conda/envs/automl-meta-learning/lib/python3.8/multiprocessing/popen_spawn_posix.py", line 58, in _launch
self.pid = util.spawnv_passfds(spawn.get_executable(),
File "/homes/miranda9/.conda/envs/automl-meta-learning/lib/python3.8/multiprocessing/util.py", line 427, in spawnv_passfds
errpipe_read, errpipe_write = os.pipe()
OSError: [Errno 24] Too many open files
参考:
目前没有回答
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