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_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

First of all, thank you for conducting such great research.

Could you give me an example of how to learn and evaluate a new dataset?

Thank you for reading!

Excellent work! Thanks for the release.

I followed the instruction here to perform image-free training on ADE20k val, but got extremely low mIoU results(0.0001). Below is my training log:

logging.log

Is there any bug or possible wrong step in the training procedure that I performed? Or any hint?

Thanks in advance.

Hi,

coco_fine.sh:
data=${data_dir}/fineseg_refined_val2017.tsv,${data_dir}/fineseg_refined_val2017.tsv
coco_unseen.sh:
data=${data_dir}/unseen_val2017.tsv,${data_dir}/unseen_val2017.tsv

Could you leave me input on why the two valid dataset TSV files were specified in the data variable?

Thanks,

--Ruida

Hi,

Thanks for your excellent work. I am wondering when the code will be released.

Best regards,
Yuhang

Did the backbone been fine-tuned on the COCO dataset before extract the feature for the cropped image?

Thanks for your excellent work. I have downloaded '2017train images', '2017val images', and '2017Stuff Train/val annotations' from the website, and I revised the data path in the python file. But I can't get the correct csv generation, could you give me help?

Hi, thanks for your amazing work. Are there plans to release a HF demo?