i only have 1 gpu , how can i run (bash dist_finetune.sh ...)

[565ee]

thank you very much for your MFM !!!

when i run (bash dist_finetune.sh ...) , get error
how can i run (bash dist_finetune.sh ...) with only 1 gpu , not multi gpu ?

/opt/conda/envs/py3.9_cuda11.8/lib/python3.9/site-packages/torch/distributed/launch.py:181: FutureWarning: The module torch.distributed.launch is deprecated
and will be removed in future. Use torchrun.
Note that --use-env is set by default in torchrun.
If your script expects `--local-rank` argument to be set, please
change it to read from `os.environ['LOCAL_RANK']` instead. See
https://pytorch.org/docs/stable/distributed.html#launch-utility for
further instructions

  warnings.warn(
': [Errno 2] No such file or directoryhon: can't open file '/mnt/d/Software/AI/mfm/2304/mfm_1/
ERROR:torch.distributed.elastic.multiprocessing.api:failed (exitcode: 2) local_rank: 0 (pid: 80) of binary: /opt/conda/envs/py3.9_cuda11.8/bin/python
Traceback (most recent call last):
  File "/opt/conda/envs/py3.9_cuda11.8/lib/python3.9/runpy.py", line 197, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/opt/conda/envs/py3.9_cuda11.8/lib/python3.9/runpy.py", line 87, in _run_code
    exec(code, run_globals)
  File "/opt/conda/envs/py3.9_cuda11.8/lib/python3.9/site-packages/torch/distributed/launch.py", line 196, in <module>
    main()
  File "/opt/conda/envs/py3.9_cuda11.8/lib/python3.9/site-packages/torch/distributed/launch.py", line 192, in main
    launch(args)
  File "/opt/conda/envs/py3.9_cuda11.8/lib/python3.9/site-packages/torch/distributed/launch.py", line 177, in launch
    run(args)
  File "/opt/conda/envs/py3.9_cuda11.8/lib/python3.9/site-packages/torch/distributed/run.py", line 785, in run
    elastic_launch(
  File "/opt/conda/envs/py3.9_cuda11.8/lib/python3.9/site-packages/torch/distributed/launcher/api.py", line 133, in __call__
    return launch_agent(self._config, self._entrypoint, list(args))
  File "/opt/conda/envs/py3.9_cuda11.8/lib/python3.9/site-packages/torch/distributed/launcher/api.py", line 249, in launch_agent
    raise ChildFailedError(
torch.distributed.elastic.multiprocessing.errors.ChildFailedError:
============================================================
 FAILED
------------------------------------------------------------
Failures:
  <NO_OTHER_FAILURES>
------------------------------------------------------------
Root Cause (first observed failure):
[0]:
  time      : 2023-05-09_06:58:55
  host      : LZH2.localdomain
  rank      : 0 (local_rank: 0)
  exitcode  : 2 (pid: 80)
  error_file: <N/A>
  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
============================================================
dist_finetune.sh: line 10: main_finetune.py: command not found
dist_finetune.sh: line 11: --cfg: command not found

[Jiahao000]

Hi, you can set ​GPUS=1 in dist_finetune.sh and adjust the batch size (set --batch-size) accordingly. You may also need to accumulate gradients (set --accumulation-steps) if there is not enough GPU memory.