[英]Shared arrays in multiprocessing Python
我試圖在並行處理python腳本中的同一共享數組中編寫。
當我在課外使用普通腳本進行操作時,一切正常。 但是,當我嘗試通過一個類(使用相同的代碼)進行操作時,我得到了
Runtime Error: SynchronizedArray objects should only be shared between processes through inheritance
。
我的腳本如下(沒有類):
import numpy
import ctypes
from multiprocessing import Pool, Array, cpu_count
n = 2
total_costs_matrix_base = Array(ctypes.c_double, n*n)
total_costs_matrix = numpy.ctypeslib.as_array(
total_costs_matrix_base.get_obj())
total_costs_matrix = total_costs_matrix.reshape(n,n)
def set_total_costs_matrix( i, j, def_param = total_costs_matrix_base):
total_costs_matrix[i,j] = i * j
if __name__ == "__main__":
pool = Pool(processes=cpu_count())
iterable = []
for i in range(n):
for j in range(i+1,n):
iterable.append((i,j))
pool.starmap(set_total_costs_matrix, iterable)
total_costs_matrix.dump('some/path/to/file')
該腳本運行良好。 以下是不使用的(使用類):
import numpy
import ctypes
from multiprocessing import Pool, Array, cpu_count
class CostComputation(object):
"""Computes the cost matrix."""
def __init__(self):
self.n = 2
self.total_costs_matrix_base = Array(ctypes.c_double, self.n*self.n)
self.total_costs_matrix = numpy.ctypeslib.as_array(
self.total_costs_matrix_base.get_obj())
self.total_costs_matrix = self.total_costs_matrix.reshape(self.n,self.n)
def set_total_costs_matrix(self, i, j, def_param = None):
def_param = self.total_costs_matrix_base
self.total_costs_matrix[i,j] = i * j
def write_cost_matrix(self):
pool = Pool(processes=cpu_count())
iterable = []
for i in range(self.n):
for j in range(i+1,self.n):
iterable.append((i,j))
pool.starmap(self.set_total_costs_matrix, iterable)
self.total_costs_matrix.dump('some/path/to/file')
在此之后,我會打電話write_cost_matrix
從另一個文件創建的實例后CostComputation
。
我讀了這個答案,但仍然無法解決我的問題。
我在Mac OSX Yosemite 10.10.4中使用Python 3.4.2。
編輯
使用類CostComputation時,我正在使用的腳本是:
from cost_computation import CostComputation
cc = CostComputation()
cc.write_costs_matrix()
整個錯誤是:
Traceback (most recent call last):
File "app.py", line 65, in <module>
cc.write_cost_matrix()
File "/path/to/cost_computation.py", line 75, in write_cost_matrix
pool.starmap(self.set_total_costs_matrix, iterable)
File "/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/multiprocessing/pool.py", line 268, in starmap
return self._map_async(func, iterable, starmapstar, chunksize).get()
File "/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/multiprocessing/pool.py", line 599, in get
raise self._value
File "/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/multiprocessing/pool.py", line 383, in _handle_tasks
put(task)
File "/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/multiprocessing/connection.py", line 206, in send
self._send_bytes(ForkingPickler.dumps(obj))
File "/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/multiprocessing/reduction.py", line 50, in dumps
cls(buf, protocol).dump(obj)
File "/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/multiprocessing/sharedctypes.py", line 192, in __reduce__
assert_spawning(self)
File "/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/multiprocessing/context.py", line 347, in assert_spawning
' through inheritance' % type(obj).__name__
RuntimeError: SynchronizedArray objects should only be shared between processes through inheritance
嘗試創建僅包含共享數據的第二個類。 然后在您的主類中使用該類對象。
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