我有一个由ano.function()返回的函数,我想在多处理中使用它来加速。下面是一个简单的演示脚本,显示我遇到的问题:
import numpy as np
from multiprocessing import Pool
from functools import partial
import theano
from theano import tensor
def get_theano_func():
x = tensor.dscalar()
y = x + 0.1
f = theano.function([x], [y])
return f
def func1(func, x):
return func(x)
def MPjob(xlist):
f = get_theano_func()
fp = partial(func1, func=f)
pool = Pool(processes=5)
Results = pool.imap(fp, xlist)
Y = []
for y in Results:
Y.append(y[0])
pool.close()
return Y
if __name__ == '__main__':
xlist = np.arange(0, 5, 1)
Y = MPjob(xlist)
print(Y)
在上述代码中,theano函数“f”作为输入参数馈送到“func1()”。如果MPjob()正确运行,它应该返回[0.1、1.1、2.1、3.1、4.1]。但是,引发了异常“TypeError:func1()获取了参数“func”的多个值。
完整的跟踪日志如下:
multiprocessing.pool.RemoteTraceback:
"""
Traceback (most recent call last):
File "C:\Python35\lib\multiprocessing\pool.py", line 119, in worker
result = (True, func(*args, **kwds))
TypeError: func1() got multiple values for argument 'func'
"""
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "F:/DaweiLeng/Code/workspace/Python/General/theano_multiprocess_debug.py", line 36, in <module>
Y = MPjob(xlist)
File "F:/DaweiLeng/Code/workspace/Python/General/theano_multiprocess_debug.py", line 29, in MPjob
for y in Results:
File "C:\Python35\lib\multiprocessing\pool.py", line 695, in next
raise value
TypeError: func1() got multiple values for argument 'func'
有人知道吗?
最佳答案
原来它与partial()函数有关。完整的解释在这里https://github.com/Theano/Theano/issues/4720#issuecomment-232029702
关于python - 如何使用多处理并行处理Theano函数?,我们在Stack Overflow上找到一个类似的问题:https://stackoverflow.com/questions/38321879/