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:

------------------------------------------------------------ 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: traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html ============================================================

[TaroPlay]

大佬，搞定了这个问题吗？