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I encountered an error while executing Simba through a bash job submission, as detailed below.
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "/data2/duren_lab/naqing/conda_envs/env_simba/lib/python3.10/multiprocessing/spawn.py", line 116, in spawn_main
exitcode = _main(fd, parent_sentinel)
File "/data2/duren_lab/naqing/conda_envs/env_simba/lib/python3.10/multiprocessing/spawn.py", line 125, in _main
prepare(preparation_data)
File "/data2/duren_lab/naqing/conda_envs/env_simba/lib/python3.10/multiprocessing/spawn.py", line 236, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "/data2/duren_lab/naqing/conda_envs/env_simba/lib/python3.10/multiprocessing/spawn.py", line 287, in _fixup_main_from_path
main_content = runpy.run_path(main_path,
File "/data2/duren_lab/naqing/conda_envs/env_simba/lib/python3.10/runpy.py", line 289, in run_path
return _run_module_code(code, init_globals, run_name,
File "/data2/duren_lab/naqing/conda_envs/env_simba/lib/python3.10/runpy.py", line 96, in _run_module_code
_run_code(code, mod_globals, init_globals,
File "/data2/duren_lab/naqing/conda_envs/env_simba/lib/python3.10/runpy.py", line 86, in _run_code
exec(code, run_globals)
File "/data2/duren_lab/naqing/pipeline_building/Dimension_reduction/code/SIMBA/pbmc/pbmc.py", line 74, in <module>
si.tl.pbg_train(auto_wd=True, save_wd=True, output='model')
File "/data2/duren_lab/naqing/conda_envs/env_simba/lib/python3.10/site-packages/simba/tools/_pbg.py", line 939, in pbg_train
train(train_config, subprocess_init=subprocess_init)
File "/data2/duren_lab/naqing/conda_envs/env_simba/lib/python3.10/site-packages/torchbiggraph/train.py", line 54, in train
coordinator = CoordinatorT(config, model, trainer, evaluator, rank, subprocess_init)
File "/data2/duren_lab/naqing/conda_envs/env_simba/lib/python3.10/site-packages/torchbiggraph/train_cpu.py", line 418, in __init__
self.pool = create_pool(
File "/data2/duren_lab/naqing/conda_envs/env_simba/lib/python3.10/site-packages/torchbiggraph/util.py", line 308, in create_pool
return mp.get_context("spawn").Pool(
File "/data2/duren_lab/naqing/conda_envs/env_simba/lib/python3.10/multiprocessing/context.py", line 119, in Pool
return Pool(processes, initializer, initargs, maxtasksperchild,
File "/data2/duren_lab/naqing/conda_envs/env_simba/lib/python3.10/multiprocessing/pool.py", line 215, in __init__
self._repopulate_pool()
File "/data2/duren_lab/naqing/conda_envs/env_simba/lib/python3.10/multiprocessing/pool.py", line 306, in _repopulate_pool
return self._repopulate_pool_static(self._ctx, self.Process,
File "/data2/duren_lab/naqing/conda_envs/env_simba/lib/python3.10/multiprocessing/pool.py", line 329, in _repopulate_pool_static
w.start()
File "/data2/duren_lab/naqing/conda_envs/env_simba/lib/python3.10/multiprocessing/process.py", line 121, in start
self._popen = self._Popen(self)
File "/data2/duren_lab/naqing/conda_envs/env_simba/lib/python3.10/multiprocessing/context.py", line 288, in _Popen
return Popen(process_obj)
File "/data2/duren_lab/naqing/conda_envs/env_simba/lib/python3.10/multiprocessing/popen_spawn_posix.py", line 32, in __init__
super().__init__(process_obj)
File "/data2/duren_lab/naqing/conda_envs/env_simba/lib/python3.10/multiprocessing/popen_fork.py", line 19, in __init__
self._launch(process_obj)
File "/data2/duren_lab/naqing/conda_envs/env_simba/lib/python3.10/multiprocessing/popen_spawn_posix.py", line 42, in _launch
prep_data = spawn.get_preparation_data(process_obj._name)
File "/data2/duren_lab/naqing/conda_envs/env_simba/lib/python3.10/multiprocessing/spawn.py", line 154, in get_preparation_data
_check_not_importing_main()
File "/data2/duren_lab/naqing/conda_envs/env_simba/lib/python3.10/multiprocessing/spawn.py", line 134, in _check_not_importing_main
raise RuntimeError('''
RuntimeError:
An attempt has been made to start a new process before the
current process has finished its bootstrapping phase.
This probably means that you are not using fork to start your
child processes and you have forgotten to use the proper idiom
in the main module:
if __name__ == '__main__':
freeze_support()
...
The "freeze_support()" line can be omitted if the program
is not going to be frozen to produce an executable.
And it seems like after this error, the script run all over again and is repeated couple of times
However, when running it interactively on the cluster, it operates without issues.
Could you suggest what might be causing this issue? Any assistance would be greatly appreciated.
The text was updated successfully, but these errors were encountered:
I encountered an error while executing Simba through a bash job submission, as detailed below.
And it seems like after this error, the script run all over again and is repeated couple of times
However, when running it interactively on the cluster, it operates without issues.
Could you suggest what might be causing this issue? Any assistance would be greatly appreciated.
The text was updated successfully, but these errors were encountered: