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Hi,
I run the following command to download the German Dataset from MuAViC: python get_data.py --root-path ./muavic_project --src-lang de
and met the error below during the stage of running segmenting (at 21% of the process "Segmenting de videos files (It takes a few hours to complete)").
File "get_data.py", line 115, in <module>
main(args)
File "get_data.py", line 84, in main
prepare_mtedx(args)
File "get_data.py", line 26, in prepare_mtedx
preprocess_mtedx_video(
File "/mnt/ceph_rbd/muavic_project/muavic/mtedx_utils.py", line 236, in preprocess_mtedx_video
process_map(
File "/mnt/ceph_rbd/applications/anaconda3/envs/avhubert/lib/python3.8/site-packages/tqdm/contrib/concurrent.py", line 105, in process_map
return _executor_map(ProcessPoolExecutor, fn, *iterables, **tqdm_kwargs)
File "/mnt/ceph_rbd/applications/anaconda3/envs/avhubert/lib/python3.8/site-packages/tqdm/contrib/concurrent.py", line 51, in _executor_map
return list(tqdm_class(ex.map(fn, *iterables, chunksize=chunksize), **kwargs))
File "/mnt/ceph_rbd/applications/anaconda3/envs/avhubert/lib/python3.8/site-packages/tqdm/std.py", line 1170, in __iter__
for obj in iterable:
File "/mnt/ceph_rbd/applications/anaconda3/envs/avhubert/lib/python3.8/concurrent/futures/process.py", line 484, in _chain_from_iterable_of_lists for element in iterable:
File "/mnt/ceph_rbd/applications/anaconda3/envs/avhubert/lib/python3.8/concurrent/futures/_base.py", line 619, in result_iterator
yield fs.pop().result()
File "/mnt/ceph_rbd/applications/anaconda3/envs/avhubert/lib/python3.8/concurrent/futures/_base.py", line 444, in result
return self.__get_result()
File "/mnt/ceph_rbd/applications/anaconda3/envs/avhubert/lib/python3.8/concurrent/futures/_base.py", line 389, in __get_result
raise self._exception
concurrent.futures.process.BrokenProcessPool: A process in the process pool was terminated abruptly while the future was running or pending.
I'm not very familiar with using process_map. Do you have any potential assumption about the reason of this error and suggestions on solving it?
Many thanks.
The text was updated successfully, but these errors were encountered:
Thanks @Anwarvic , last time I saw your comment, I checked the example issue and realised my issue was due to the same memory limit reason. I've solved this issue now. Many thanks.
Hi,
I run the following command to download the German Dataset from MuAViC:
python get_data.py --root-path ./muavic_project --src-lang de
and met the error below during the stage of running segmenting (at 21% of the process "Segmenting
de
videos files (It takes a few hours to complete)").I'm not very familiar with using process_map. Do you have any potential assumption about the reason of this error and suggestions on solving it?
Many thanks.
The text was updated successfully, but these errors were encountered: