training errors

[mycomedico]

I get the following errors when i try to run the training script:

/usr/local/lib/python3.9/site-packages/torch/distributed/launch.py:183: 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(
[2024-03-27 23:53:06,101] torch.distributed.run: [WARNING]
[2024-03-27 23:53:06,101] torch.distributed.run: [WARNING] *****************************************
[2024-03-27 23:53:06,101] torch.distributed.run: [WARNING] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed.
[2024-03-27 23:53:06,101] torch.distributed.run: [WARNING] *****************************************
usage: train.py [-h] -opt OPT [--launcher {none,pytorch,slurm}] [--auto_resume] [--debug]
[--local_rank LOCAL_RANK] [--force_yml FORCE_YML [FORCE_YML ...]]
usage: train.py [-h] -opt OPT [--launcher {none,pytorch,slurm}] [--auto_resume] [--debug]
[--local_rank LOCAL_RANK] [--force_yml FORCE_YML [FORCE_YML ...]]
train.py: error: unrecognized arguments: --local-rank=2
train.py: error: unrecognized arguments: --local-rank=0
usage: train.py [-h] -opt OPT [--launcher {none,pytorch,slurm}] [--auto_resume] [--debug]
[--local_rank LOCAL_RANK] [--force_yml FORCE_YML [FORCE_YML ...]]
train.py: error: unrecognized arguments: --local-rank=3
usage: train.py [-h] -opt OPT [--launcher {none,pytorch,slurm}] [--auto_resume] [--debug]
[--local_rank LOCAL_RANK] [--force_yml FORCE_YML [FORCE_YML ...]]
train.py: error: unrecognized arguments: --local-rank=1
[2024-03-27 23:53:31,246] torch.distributed.elastic.multiprocessing.api: [ERROR] failed (exitcode: 2) local_rank: 0 (pid: 56905) of binary: /usr/local/bin/python3
Traceback (most recent call last):
File "/usr/local/lib/python3.9/runpy.py", line 197, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/local/lib/python3.9/runpy.py", line 87, in _run_code
exec(code, run_globals)
File "/usr/local/lib/python3.9/site-packages/torch/distributed/launch.py", line 198, in
main()
File "/usr/local/lib/python3.9/site-packages/torch/distributed/launch.py", line 194, in main
launch(args)
File "/usr/local/lib/python3.9/site-packages/torch/distributed/launch.py", line 179, in launch
run(args)
File "/usr/local/lib/python3.9/site-packages/torch/distributed/run.py", line 803, in run
elastic_launch(
File "/usr/local/lib/python3.9/site-packages/torch/distributed/launcher/api.py", line 135, in call
return launch_agent(self._config, self._entrypoint, list(args))
File "/usr/local/lib/python3.9/site-packages/torch/distributed/launcher/api.py", line 268, in launch_agent
raise ChildFailedError(
torch.distributed.elastic.multiprocessing.errors.ChildFailedError:

basicsr/train.py FAILED

Failures:
[1]:
time : 2024-03-27_23:53:31
host : 7b4bdae11b42
rank : 1 (local_rank: 1)
exitcode : 2 (pid: 56906)
error_file: <N/A>
traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
[2]:
time : 2024-03-27_23:53:31
host : 7b4bdae11b42
rank : 2 (local_rank: 2)
exitcode : 2 (pid: 56907)
error_file: <N/A>
traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
[3]:
time : 2024-03-27_23:53:31
host : 7b4bdae11b42
rank : 3 (local_rank: 3)
exitcode : 2 (pid: 56908)
error_file: <N/A>
traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html

Root Cause (first observed failure):
[0]:
time : 2024-03-27_23:53:31
host : 7b4bdae11b42
rank : 0 (local_rank: 0)
exitcode : 2 (pid: 56905)
error_file: <N/A>
traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html

[piddnad]

It appears that the issue was due to the local-rank parameter not being correctly parsed, which has been fixed in commit 74293b6. Will close this issue.