I want to create a shared array with a dynamic size. I want to assign an array with an unknown size to it in another process.
from multiprocessing import Process, Value, Array
def f(a):
b=[3,5,7]
#resize(a,len(b)) # How to resize "a" ???
a[:]=b # Only works when "a" is initialized with the same size like the "b"
arr = Array('d', 0) #Array with a size of 0
p = Process(target=f, args=(arr))
p.start()
p.join()
print arr[:]
Python provides the ability to create and manage new processes via the multiprocessing. Process class. In multiprocessing programming, we typically need to share data and program state between processes. This can be achieved using shared memory via shared ctypes.
torch. multiprocessing is a drop in replacement for Python's multiprocessing module. It supports the exact same operations, but extends it, so that all tensors sent through a multiprocessing. Queue , will have their data moved into shared memory and will only send a handle to another process.
Shared memory can be a very efficient way of handling data in a program that uses concurrency. Python's mmap uses shared memory to efficiently share large amounts of data between multiple Python processes, threads, and tasks that are happening concurrently.
In this example, at first we import the Process class then initiate Process object with the display() function. Then process is started with start() method and then complete the process with the join() method. We can also pass arguments to the function using args keyword.
The size of mp.Arrays
can only be set once upon instantiation. You could use a mp.Manager
to create a shared list however:
import multiprocessing as mp
def f(mlist):
b = [3, 5, 7]
mlist[:]=b
if __name__ == '__main__':
manager = mp.Manager()
mlist = manager.list()
p = mp.Process(target=f, args=[mlist])
p.start()
p.join()
print(mlist[:])
yields
[3, 5, 7]
Note also args=(arr)
results in
TypeError: f() takes exactly 1 argument (0 given)
because args
expects a sequence of arguments to be passed to it. (args)
evaluates to arr
. To pass arr
to f
you would need args=[arr]
or
args=(arr,)
(a tuple containing 1 element).
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