how to train my own coco type datasets?

[RobertTang0]

CORA: error: argument --coco_path: expected one argument
ERROR:torch.distributed.elastic.multiprocessing.api:failed (exitcode: 2) local_rank: 0 (pid: 2391479) of binary: /home/root123/.conda/envs/tlb/bin/python
Traceback (most recent call last):
File "/home/root123/.conda/envs/tlb/lib/python3.9/runpy.py", line 197, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/home/root123/.conda/envs/tlb/lib/python3.9/runpy.py", line 87, in _run_code
exec(code, run_globals)
File "/home/root123/.conda/envs/tlb/lib/python3.9/site-packages/torch/distributed/launch.py", line 193, in
main()
File "/home/root123/.conda/envs/tlb/lib/python3.9/site-packages/torch/distributed/launch.py", line 189, in main
launch(args)
File "/home/root123/.conda/envs/tlb/lib/python3.9/site-packages/torch/distributed/launch.py", line 174, in launch
run(args)
File "/home/root123/.conda/envs/tlb/lib/python3.9/site-packages/torch/distributed/run.py", line 710, in run
elastic_launch(
File "/home/root123/.conda/envs/tlb/lib/python3.9/site-packages/torch/distributed/launcher/api.py", line 131, in call
return launch_agent(self._config, self._entrypoint, list(args))
File "/home/root123/.conda/envs/tlb/lib/python3.9/site-packages/torch/distributed/launcher/api.py", line 259, in launch_agent
raise ChildFailedError(
torch.distributed.elastic.multiprocessing.errors.ChildFailedError:

main.py FAILED

Failures:
<NO_OTHER_FAILURES>

Root Cause (first observed failure):
[0]:
time : 2023-07-04_02:03:52
host : gpu22
rank : 0 (local_rank: 0)
exitcode : 2 (pid: 2391479)
error_file: <N/A>
traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html

[TaroPlay]

大佬，搞定了这个问题吗？