I believe on Windows, because there is no fork, the multiprocessing module reloads modules in new Python's processes.
You are required to have this code in your main script, otherwise very nasty crashes occur
if __name__ == '__main__':
from multiprocessing import freeze_support
freeze_support()
I have a bunch of modules which have debug print statements in them at the module level. Therefore, the print statements get called whenever a module is being loaded.
Whenever I run something in parallel all of these print statements are executed.
My question is if there is a way to see if a module is being imported by the multiprocessing module, and if so silence those print statements?
I'm basically looking if there is something like:
import multiprocessing
if not multiprocessing.in_parallel_process:
print('Loaded module: ' + __name___)
I've been unable to find it so far. Is this possible?
multiprocessing has been distributed as part of the standard library since python 2.6. multiprocess is part of pathos, a python framework for heterogeneous computing.
A process can be killed by calling the Process. terminate() function. The call will only terminate the target process, not child processes. The method is called on the multiprocessing.
No. Your code will run sequentially.
Pool is generally used for heterogeneous tasks, whereas multiprocessing. Process is generally used for homogeneous tasks. The Pool is designed to execute heterogeneous tasks, that is tasks that do not resemble each other. For example, each task submitted to the process pool may be a different target function.
For Python 3.8 and newer use multiprocessing.parent_process()
which returns None
only for the main process and for earlier versions check if name
attribute's value equals MainProcess
.
from multiprocessing import Process, current_process
if current_process().name == 'MainProcess':
print('Hello from the main process')
else:
print('Hello from child process')
def f(name):
print('hello', name)
if __name__ == '__main__':
p = Process(target=f, args=('bob',))
p.start()
p.join()
Output:
Hello from the main process
Hello from child process
hello bob
Yes, you can obtain information about the current process from the instance returned by multiprocessing.current_process()
. In particular the Process
constructor has a name
argument that can be used to distinguish between child processes.
Note that in python2, if you do not specify name
explicitly then the module doesn't give any guarantee on the format used, hence you cannot reliably distinguish between subprocesses and the main process: you must always explicitly specify it.
In python3 child processes are guaranteed to have a name with the format of Process-N
with N
a positive integer. Note that there is no guarantee on the name of the parent process, hence doing:
process.name == 'MainProcess'
Is not reliable. You should do:
import re
re.match(r'Process-\d+', process.name)
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