Here is the distributed training error message. Any input? Thanks.
--Ruida
single-machine distributed training is initialized.
/gpfs/gsfs12/users/me/conda/envs/ifseg/lib/python3.8/site-packages/torch/distributed/launch.py:180: 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(
ERROR:torch.distributed.elastic.multiprocessing.api:failed (exitcode: -11) local_rank: 0 (pid: 2012686) of binary: /gpfs/gsfs12/users/me/conda/envs/ifseg/bin/python3
Traceback (most recent call last):
File "/gpfs/gsfs12/users/me/conda/envs/ifseg/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/gpfs/gsfs12/users/me/conda/envs/ifseg/lib/python3.8/runpy.py", line 87, in _run_code
exec(code, run_globals)
File "/gpfs/gsfs12/users/me/conda/envs/ifseg/lib/python3.8/site-packages/torch/distributed/launch.py", line 195, in
main()
File "/gpfs/gsfs12/users/me/conda/envs/ifseg/lib/python3.8/site-packages/torch/distributed/launch.py", line 191, in main
launch(args)
File "/gpfs/gsfs12/users/me/conda/envs/ifseg/lib/python3.8/site-packages/torch/distributed/launch.py", line 176, in launch
run(args)
File "/gpfs/gsfs12/users/me/conda/envs/ifseg/lib/python3.8/site-packages/torch/distributed/run.py", line 753, in run
elastic_launch(
File "/gpfs/gsfs12/users/me/conda/envs/ifseg/lib/python3.8/site-packages/torch/distributed/launcher/api.py", line 132, in call
return launch_agent(self._config, self._entrypoint, list(args))
File "/gpfs/gsfs12/users/me/conda/envs/ifseg/lib/python3.8/site-packages/torch/distributed/launcher/api.py", line 246, in launch_agent
raise ChildFailedError(
torch.distributed.elastic.multiprocessing.errors.ChildFailedError:
[1]:
time : 2023-12-23_05:09:30
host : localhost
rank : 1 (local_rank: 1)
exitcode : -11 (pid: 2012687)
error_file: <N/A>
traceback : Signal 11 (SIGSEGV) received by PID 2012687
[2]:
time : 2023-12-23_05:09:30
host : localhost
rank : 2 (local_rank: 2)
exitcode : -11 (pid: 2012688)
error_file: <N/A>
traceback : Signal 11 (SIGSEGV) received by PID 2012688
[3]:
time : 2023-12-23_05:09:30
host : localhost
rank : 3 (local_rank: 3)
exitcode : -11 (pid: 2012689)
error_file: <N/A>
traceback : Signal 11 (SIGSEGV) received by PID 2012689
Root Cause (first observed failure):
[0]:
time : 2023-12-23_05:09:30
host : localhost
rank : 0 (local_rank: 0)
exitcode : -11 (pid: 2012686)
error_file: <N/A>
traceback : Signal 11 (SIGSEGV) received by PID 2012686
Hi, I allocate 64g REM with 4 A100 GPUs
SBATCH --time=72:00:00
SBATCH --mem=64g
SBATCH --job-name="ifseg"
SBATCH --partition=gpu
SBATCH --gres=gpu:a100:4
SBATCH --cpus-per-task=4
SBATCH --mail-type=BEGIN,END,ALL
sh run_scripts/IFSeg/coco_unseen.sh
Here is the distributed training error message. Any input? Thanks.
--Ruida
single-machine distributed training is initialized. /gpfs/gsfs12/users/me/conda/envs/ifseg/lib/python3.8/site-packages/torch/distributed/launch.py:180: 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_rankargument to be set, please change it to read fromos.environ['LOCAL_RANK']instead. See https://pytorch.org/docs/stable/distributed.html#launch-utility for further instructionswarnings.warn( ERROR:torch.distributed.elastic.multiprocessing.api:failed (exitcode: -11) local_rank: 0 (pid: 2012686) of binary: /gpfs/gsfs12/users/me/conda/envs/ifseg/bin/python3 Traceback (most recent call last): File "/gpfs/gsfs12/users/me/conda/envs/ifseg/lib/python3.8/runpy.py", line 194, in _run_module_as_main return _run_code(code, main_globals, None, File "/gpfs/gsfs12/users/me/conda/envs/ifseg/lib/python3.8/runpy.py", line 87, in _run_code exec(code, run_globals) File "/gpfs/gsfs12/users/me/conda/envs/ifseg/lib/python3.8/site-packages/torch/distributed/launch.py", line 195, in
main()
File "/gpfs/gsfs12/users/me/conda/envs/ifseg/lib/python3.8/site-packages/torch/distributed/launch.py", line 191, in main
launch(args)
File "/gpfs/gsfs12/users/me/conda/envs/ifseg/lib/python3.8/site-packages/torch/distributed/launch.py", line 176, in launch
run(args)
File "/gpfs/gsfs12/users/me/conda/envs/ifseg/lib/python3.8/site-packages/torch/distributed/run.py", line 753, in run
elastic_launch(
File "/gpfs/gsfs12/users/me/conda/envs/ifseg/lib/python3.8/site-packages/torch/distributed/launcher/api.py", line 132, in call
return launch_agent(self._config, self._entrypoint, list(args))
File "/gpfs/gsfs12/users/me/conda/envs/ifseg/lib/python3.8/site-packages/torch/distributed/launcher/api.py", line 246, in launch_agent
raise ChildFailedError(
torch.distributed.elastic.multiprocessing.errors.ChildFailedError:
[1]: time : 2023-12-23_05:09:30 host : localhost rank : 1 (local_rank: 1) exitcode : -11 (pid: 2012687) error_file: <N/A> traceback : Signal 11 (SIGSEGV) received by PID 2012687 [2]: time : 2023-12-23_05:09:30 host : localhost rank : 2 (local_rank: 2) exitcode : -11 (pid: 2012688) error_file: <N/A> traceback : Signal 11 (SIGSEGV) received by PID 2012688 [3]: time : 2023-12-23_05:09:30 host : localhost rank : 3 (local_rank: 3) exitcode : -11 (pid: 2012689) error_file: <N/A> traceback : Signal 11 (SIGSEGV) received by PID 2012689
Root Cause (first observed failure): [0]: time : 2023-12-23_05:09:30 host : localhost rank : 0 (local_rank: 0) exitcode : -11 (pid: 2012686) error_file: <N/A> traceback : Signal 11 (SIGSEGV) received by PID 2012686