gpu_stump on linux #323
Description
When I am running gpu_stump on linux I receive this error:
import stumpy
import numpy as np
from numba import cuda
your_time_series = np.random.rand(10000)
window_size = 50 # Approximately, how many data points might be found in a pattern
all_gpu_devices = [device.id for device in cuda.list_devices()] # Get a list of all available GPU devices
matrix_profile = stumpy.gpu_stump(your_time_series, m=window_size, device_id=all_gpu_devices)
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "/opt/anaconda3/lib/python3.8/multiprocessing/spawn.py", line 116, in spawn_main
exitcode = _main(fd, parent_sentinel)
File "/opt/anaconda3/lib/python3.8/multiprocessing/spawn.py", line 125, in _main
prepare(preparation_data)
File "/opt/anaconda3/lib/python3.8/multiprocessing/spawn.py", line 236, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "/opt/anaconda3/lib/python3.8/multiprocessing/spawn.py", line 287, in _fixup_main_from_path
main_content = runpy.run_path(main_path,
File "/opt/anaconda3/lib/python3.8/runpy.py", line 265, in run_path
return _run_module_code(code, init_globals, run_name,
File "/opt/anaconda3/lib/python3.8/runpy.py", line 97, in _run_module_code
_run_code(code, mod_globals, init_globals,
File "/opt/anaconda3/lib/python3.8/runpy.py", line 87, in _run_code
exec(code, run_globals)
File "/home/stud1/h/hadfan20/.local/MPdemo.py", line 9, in <module>
matrix_profile = stumpy.gpu_stump(your_time_series, m=window_size, device_id=all_gpu_devices)
File "/home/stud/h/hadfan20/.local/lib/python3.8/site-packages/stumpy/gpu_stump.py", line 503, in gpu_stump
p = mp.Pool(processes=len(device_ids))
File "/opt/anaconda3/lib/python3.8/multiprocessing/context.py", line 119, in Pool
return Pool(processes, initializer, initargs, maxtasksperchild,
File "/opt/anaconda3/lib/python3.8/multiprocessing/pool.py", line 212, in __init__
self._repopulate_pool()
File "/opt/anaconda3/lib/python3.8/multiprocessing/pool.py", line 303, in _repopulate_pool
return self._repopulate_pool_static(self._ctx, self.Process,
File "/opt/anaconda3/lib/python3.8/multiprocessing/pool.py", line 326, in _repopulate_pool_static
w.start()
File "/opt/anaconda3/lib/python3.8/multiprocessing/process.py", line 121, in start
self._popen = self._Popen(self)
File "/opt/anaconda3/lib/python3.8/multiprocessing/context.py", line 283, in _Popen
return Popen(process_obj)
File "/opt/anaconda3/lib/python3.8/multiprocessing/popen_spawn_posix.py", line 32, in __init__
super().__init__(process_obj)
File "/opt/anaconda3/lib/python3.8/multiprocessing/popen_fork.py", line 19, in __init__
self._launch(process_obj)
File "/opt/anaconda3/lib/python3.8/multiprocessing/popen_spawn_posix.py", line 42, in _launch
prep_data = spawn.get_preparation_data(process_obj._name)
File "/opt/anaconda3/lib/python3.8/multiprocessing/spawn.py", line 154, in get_preparation_data
_check_not_importing_main()
File "/opt/anaconda3/lib/python3.8/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.
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "/opt/anaconda3/lib/python3.8/multiprocessing/spawn.py", line 116, in spawn_main
exitcode = _main(fd, parent_sentinel)
File "/opt/anaconda3/lib/python3.8/multiprocessing/spawn.py", line 125, in _main
prepare(preparation_data)
File "/opt/anaconda3/lib/python3.8/multiprocessing/spawn.py", line 236, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "/opt/anaconda3/lib/python3.8/multiprocessing/spawn.py", line 287, in _fixup_main_from_path
main_content = runpy.run_path(main_path,
File "/opt/anaconda3/lib/python3.8/runpy.py", line 265, in run_path
return _run_module_code(code, init_globals, run_name,
File "/opt/anaconda3/lib/python3.8/runpy.py", line 97, in _run_module_code
_run_code(code, mod_globals, init_globals,
File "/opt/anaconda3/lib/python3.8/runpy.py", line 87, in _run_code
exec(code, run_globals)
File "/home/stud1/h/hadfan20/.local/MPdemo.py", line 9, in <module>
matrix_profile = stumpy.gpu_stump(your_time_series, m=window_size, device_id=all_gpu_devices)
File "/home/stud/h/hadfan20/.local/lib/python3.8/site-packages/stumpy/gpu_stump.py", line 503, in gpu_stump
p = mp.Pool(processes=len(device_ids))
File "/opt/anaconda3/lib/python3.8/multiprocessing/context.py", line 119, in Pool
return Pool(processes, initializer, initargs, maxtasksperchild,
File "/opt/anaconda3/lib/python3.8/multiprocessing/pool.py", line 212, in __init__
self._repopulate_pool()
File "/opt/anaconda3/lib/python3.8/multiprocessing/pool.py", line 303, in _repopulate_pool
return self._repopulate_pool_static(self._ctx, self.Process,
File "/opt/anaconda3/lib/python3.8/multiprocessing/pool.py", line 326, in _repopulate_pool_static
w.start()
File "/opt/anaconda3/lib/python3.8/multiprocessing/process.py", line 121, in start
self._popen = self._Popen(self)
File "/opt/anaconda3/lib/python3.8/multiprocessing/context.py", line 283, in _Popen
return Popen(process_obj)
File "/opt/anaconda3/lib/python3.8/multiprocessing/popen_spawn_posix.py", line 32, in __init__
super().__init__(process_obj)
File "/opt/anaconda3/lib/python3.8/multiprocessing/popen_fork.py", line 19, in __init__
self._launch(process_obj)
File "/opt/anaconda3/lib/python3.8/multiprocessing/popen_spawn_posix.py", line 42, in _launch
prep_data = spawn.get_preparation_data(process_obj._name)
File "/opt/anaconda3/lib/python3.8/multiprocessing/spawn.py", line 154, in get_preparation_data
_check_not_importing_main()
File "/opt/anaconda3/lib/python3.8/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.
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "/opt/anaconda3/lib/python3.8/multiprocessing/spawn.py", line 116, in spawn_main
exitcode = _main(fd, parent_sentinel)
File "/opt/anaconda3/lib/python3.8/multiprocessing/spawn.py", line 125, in _main
prepare(preparation_data)
File "/opt/anaconda3/lib/python3.8/multiprocessing/spawn.py", line 236, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "/opt/anaconda3/lib/python3.8/multiprocessing/spawn.py", line 287, in _fixup_main_from_path
main_content = runpy.run_path(main_path,
File "/opt/anaconda3/lib/python3.8/runpy.py", line 265, in run_path
return _run_module_code(code, init_globals, run_name,
File "/opt/anaconda3/lib/python3.8/runpy.py", line 97, in _run_module_code
_run_code(code, mod_globals, init_globals,
File "/opt/anaconda3/lib/python3.8/runpy.py", line 87, in _run_code
exec(code, run_globals)
File "/home/stud1/h/hadfan20/.local/MPdemo.py", line 9, in <module>
matrix_profile = stumpy.gpu_stump(your_time_series, m=window_size, device_id=all_gpu_devices)
File "/home/stud/h/hadfan20/.local/lib/python3.8/site-packages/stumpy/gpu_stump.py", line 503, in gpu_stump
p = mp.Pool(processes=len(device_ids))
File "/opt/anaconda3/lib/python3.8/multiprocessing/context.py", line 119, in Pool
return Pool(processes, initializer, initargs, maxtasksperchild,
File "/opt/anaconda3/lib/python3.8/multiprocessing/pool.py", line 212, in __init__
self._repopulate_pool()
File "/opt/anaconda3/lib/python3.8/multiprocessing/pool.py", line 303, in _repopulate_pool
return self._repopulate_pool_static(self._ctx, self.Process,
File "/opt/anaconda3/lib/python3.8/multiprocessing/pool.py", line 326, in _repopulate_pool_static
w.start()
File "/opt/anaconda3/lib/python3.8/multiprocessing/process.py", line 121, in start
self._popen = self._Popen(self)
File "/opt/anaconda3/lib/python3.8/multiprocessing/context.py", line 283, in _Popen
return Popen(process_obj)
File "/opt/anaconda3/lib/python3.8/multiprocessing/popen_spawn_posix.py", line 32, in __init__
super().__init__(process_obj)
File "/opt/anaconda3/lib/python3.8/multiprocessing/popen_fork.py", line 19, in __init__
self._launch(process_obj)
File "/opt/anaconda3/lib/python3.8/multiprocessing/popen_spawn_posix.py", line 42, in _launch
prep_data = spawn.get_preparation_data(process_obj._name)
File "/opt/anaconda3/lib/python3.8/multiprocessing/spawn.py", line 154, in get_preparation_data
_check_not_importing_main()
File "/opt/anaconda3/lib/python3.8/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.
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "/opt/anaconda3/lib/python3.8/multiprocessing/spawn.py", line 116, in spawn_main
exitcode = _main(fd, parent_sentinel)
File "/opt/anaconda3/lib/python3.8/multiprocessing/spawn.py", line 125, in _main
prepare(preparation_data)
File "/opt/anaconda3/lib/python3.8/multiprocessing/spawn.py", line 236, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "/opt/anaconda3/lib/python3.8/multiprocessing/spawn.py", line 287, in _fixup_main_from_path
main_content = runpy.run_path(main_path,
File "/opt/anaconda3/lib/python3.8/runpy.py", line 265, in run_path
return _run_module_code(code, init_globals, run_name,
File "/opt/anaconda3/lib/python3.8/runpy.py", line 97, in _run_module_code
_run_code(code, mod_globals, init_globals,
File "/opt/anaconda3/lib/python3.8/runpy.py", line 87, in _run_code
exec(code, run_globals)
File "/home/stud1/h/hadfan20/.local/MPdemo.py", line 9, in <module>
matrix_profile = stumpy.gpu_stump(your_time_series, m=window_size, device_id=all_gpu_devices)
File "/home/stud/h/hadfan20/.local/lib/python3.8/site-packages/stumpy/gpu_stump.py", line 503, in gpu_stump
p = mp.Pool(processes=len(device_ids))
File "/opt/anaconda3/lib/python3.8/multiprocessing/context.py", line 119, in Pool
return Pool(processes, initializer, initargs, maxtasksperchild,
File "/opt/anaconda3/lib/python3.8/multiprocessing/pool.py", line 212, in __init__
self._repopulate_pool()
File "/opt/anaconda3/lib/python3.8/multiprocessing/pool.py", line 303, in _repopulate_pool
return self._repopulate_pool_static(self._ctx, self.Process,
File "/opt/anaconda3/lib/python3.8/multiprocessing/pool.py", line 326, in _repopulate_pool_static
w.start()
File "/opt/anaconda3/lib/python3.8/multiprocessing/process.py", line 121, in start
self._popen = self._Popen(self)
File "/opt/anaconda3/lib/python3.8/multiprocessing/context.py", line 283, in _Popen
return Popen(process_obj)
File "/opt/anaconda3/lib/python3.8/multiprocessing/popen_spawn_posix.py", line 32, in __init__
super().__init__(process_obj)
File "/opt/anaconda3/lib/python3.8/multiprocessing/popen_fork.py", line 19, in __init__
self._launch(process_obj)
File "/opt/anaconda3/lib/python3.8/multiprocessing/popen_spawn_posix.py", line 42, in _launch
prep_data = spawn.get_preparation_data(process_obj._name)
File "/opt/anaconda3/lib/python3.8/multiprocessing/spawn.py", line 154, in get_preparation_data
_check_not_importing_main()
File "/opt/anaconda3/lib/python3.8/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.
^CTraceback (most recent call last):
File "<string>", line 1, in <module>
File "/opt/anaconda3/lib/python3.8/multiprocessing/spawn.py", line 116, in spawn_main
exitcode = _main(fd, parent_sentinel)
File "/opt/anaconda3/lib/python3.8/multiprocessing/spawn.py", line 125, in _main
Traceback (most recent call last):
prepare(preparation_data)
File "/home/stud1/h/hadfan20/.local/MPdemo.py", line 9, in <module>
File "/opt/anaconda3/lib/python3.8/multiprocessing/spawn.py", line 236, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "/opt/anaconda3/lib/python3.8/multiprocessing/spawn.py", line 287, in _fixup_main_from_path
main_content = runpy.run_path(main_path,
File "/opt/anaconda3/lib/python3.8/runpy.py", line 265, in run_path
return _run_module_code(code, init_globals, run_name,
File "/opt/anaconda3/lib/python3.8/runpy.py", line 97, in _run_module_code
_run_code(code, mod_globals, init_globals,
File "/opt/anaconda3/lib/python3.8/runpy.py", line 87, in _run_code
exec(code, run_globals)
File "/home/stud1/h/hadfan20/.local/MPdemo.py", line 1, in <module>
import stumpy
File "/home/stud/h/hadfan20/.local/lib/python3.8/site-packages/stumpy/__init__.py", line 3, in <module>
matrix_profile = stumpy.gpu_stump(your_time_series, m=window_size, device_id=all_gpu_devices)
File "/home/stud/h/hadfan20/.local/lib/python3.8/site-packages/stumpy/gpu_stump.py", line 564, in gpu_stump
from .stump import stump # noqa: F401
File "/home/stud/h/hadfan20/.local/lib/python3.8/site-packages/stumpy/stump.py", line 10, in <module>
from . import core
File "/home/stud/h/hadfan20/.local/lib/python3.8/site-packages/stumpy/core.py", line 8, in <module>
from scipy.signal import convolve
File "/opt/anaconda3/lib/python3.8/site-packages/scipy/signal/__init__.py", line 307, in <module>
p.join()
File "/opt/anaconda3/lib/python3.8/multiprocessing/pool.py", line 662, in join
self._worker_handler.join()
File "/opt/anaconda3/lib/python3.8/threading.py", line 1011, in join
self._wait_for_tstate_lock()
File "/opt/anaconda3/lib/python3.8/threading.py", line 1027, in _wait_for_tstate_lock
elif lock.acquire(block, timeout):
KeyboardInterrupt
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "/opt/anaconda3/lib/python3.8/multiprocessing/spawn.py", line 116, in spawn_main
exitcode = _main(fd, parent_sentinel)
File "/opt/anaconda3/lib/python3.8/multiprocessing/spawn.py", line 125, in _main
from ._peak_finding import *
File "/opt/anaconda3/lib/python3.8/site-packages/scipy/signal/_peak_finding.py", line 8, in <module>
prepare(preparation_data)
File "/opt/anaconda3/lib/python3.8/multiprocessing/spawn.py", line 236, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "/opt/anaconda3/lib/python3.8/multiprocessing/spawn.py", line 287, in _fixup_main_from_path
main_content = runpy.run_path(main_path,
File "/opt/anaconda3/lib/python3.8/runpy.py", line 265, in run_path
from scipy.stats import scoreatpercentile
return _run_module_code(code, init_globals, run_name,
File "/opt/anaconda3/lib/python3.8/site-packages/scipy/stats/__init__.py", line 388, in <module>
File "/opt/anaconda3/lib/python3.8/runpy.py", line 97, in _run_module_code
_run_code(code, mod_globals, init_globals,
File "/opt/anaconda3/lib/python3.8/runpy.py", line 87, in _run_code
exec(code, run_globals)
File "/home/stud1/h/hadfan20/.local/MPdemo.py", line 1, in <module>
from .stats import *
File "/opt/anaconda3/lib/python3.8/site-packages/scipy/stats/stats.py", line 180, in <module>
import stumpy
File "/home/stud/h/hadfan20/.local/lib/python3.8/site-packages/stumpy/__init__.py", line 20, in <module>
from . import distributions
File "/opt/anaconda3/lib/python3.8/site-packages/scipy/stats/distributions.py", line 11, in <module>
if cuda.is_available():
File "/opt/anaconda3/lib/python3.8/site-packages/numba/cuda/device_init.py", line 43, in is_available