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microsoft / SimMIM

This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".
https://arxiv.org/abs/2111.09886
MIT License
897 stars 83 forks source link

How can I solve this problem #38

Open haibo12 opened 1 year ago

haibo12 commented 1 year ago

/root/miniconda3/bin/python: can't open file 'main_simmim.py--cfg': [Errno 2] No such file or directory ERROR:torch.distributed.elastic.multiprocessing.api:failed (exitcode: 2) local_rank: 0 (pid: 1986) of binary: /root/miniconda3/bin/python Traceback (most recent call last): File "/root/miniconda3/lib/python3.8/runpy.py", line 194, in _run_module_as_main return _run_code(code, main_globals, None, File "/root/miniconda3/lib/python3.8/runpy.py", line 87, in _run_code exec(code, run_globals) File "/root/miniconda3/lib/python3.8/site-packages/torch/distributed/launch.py", line 193, in main() File "/root/miniconda3/lib/python3.8/site-packages/torch/distributed/launch.py", line 189, in main launch(args) File "/root/miniconda3/lib/python3.8/site-packages/torch/distributed/launch.py", line 174, in launch run(args) File "/root/miniconda3/lib/python3.8/site-packages/torch/distributed/run.py", line 710, in run elastic_launch( File "/root/miniconda3/lib/python3.8/site-packages/torch/distributed/launcher/api.py", line 131, in call return launch_agent(self._config, self._entrypoint, list(args)) File "/root/miniconda3/lib/python3.8/site-packages/torch/distributed/launcher/api.py", line 259, in launch_agent raise ChildFailedError( torch.distributed.elastic.multiprocessing.errors.ChildFailedError:

MohamadHawshar commented 1 year ago

Distributed learning is used for parallel training. If you don't want to train on multiple GPUs or if using nn.DataParallel is enough for your case. Then delete all the use of "dist" in the file.

HoaLD20 commented 11 months ago

Has anyone found a solution to the problem I'm experiencing too?

image