How can I solve this problem

[haibo12]

/root/miniconda3/bin/python: can't open file 'main_simmim.py--cfg': [Errno 2] No such file or directory
ERROR:torch.distributed.elastic.multiprocessing.api:failed (exitcode: 2) local_rank: 0 (pid: 1986) of binary: /root/miniconda3/bin/python
Traceback (most recent call last):
File "/root/miniconda3/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/root/miniconda3/lib/python3.8/runpy.py", line 87, in _run_code
exec(code, run_globals)
File "/root/miniconda3/lib/python3.8/site-packages/torch/distributed/launch.py", line 193, in
main()
File "/root/miniconda3/lib/python3.8/site-packages/torch/distributed/launch.py", line 189, in main
launch(args)
File "/root/miniconda3/lib/python3.8/site-packages/torch/distributed/launch.py", line 174, in launch
run(args)
File "/root/miniconda3/lib/python3.8/site-packages/torch/distributed/run.py", line 710, in run
elastic_launch(
File "/root/miniconda3/lib/python3.8/site-packages/torch/distributed/launcher/api.py", line 131, in call
return launch_agent(self._config, self._entrypoint, list(args))
File "/root/miniconda3/lib/python3.8/site-packages/torch/distributed/launcher/api.py", line 259, in launch_agent
raise ChildFailedError(
torch.distributed.elastic.multiprocessing.errors.ChildFailedError:

[MohamadHawshar]

Distributed learning is used for parallel training. If you don't want to train on multiple GPUs or if using nn.DataParallel is enough for your case. Then delete all the use of "dist" in the file.

[HoaLD20]

Has anyone found a solution to the problem I'm experiencing too?