I am trying to implement starmap in a small python script I am writing. To do this I have been using the following answer to a stackoverflow post. However, during the implementation process I encountered an issue I could not…
I am running an Airflow job to load data into a table. The task is : query a database -> get results in pandas data frame -> pass the result set to a worker processes -> each worker process process…
I have a big nested dict nested_dict which was created using parallel processing, resulting in DictProxy objects at each level. To avoid having to re-run the creation of this dict which takes hours I want to save everything in a…
I have a Python script as shown below: import torch from torch.multiprocessing import set_start_method, Pipe, Process def func(conn): data = conn.recv() print(data) if __name__ == "__main__": set_start_method('spawn') a, b = Pipe() data = torch.tensor([1, 2, 3], device='cuda') proc = Process(target=func,…
My English is not good. I'm reading the code from ansible 1.1 The following is taken from "ansible-1.1/lib/ansible/runner/__init__.py" def _executor_hook(job_queue, result_queue): # attempt workaround of https://github.com/newsapps/beeswithmachineguns/issues/17 # this function also not present in CentOS 6 if HAS_ATFORK: atfork() signal.signal(signal.SIGINT, signal.SIG_IGN)…
I'm trying to parallelize a piece of code given below using the multiprocessing module. Everything I try leads to each child process being run one after the other even though they all have different PIDs. I have tried: CentOS and…
os and python info: uname -a Linux debian 5.10.0-8-amd64 #1 SMP Debian 5.10.46-4 (2021-08-03) x86_64 GNU/Linux python3 --version Python 3.9.2 Here is a simple class which can start multiprocessing. from multiprocessing.pool import Pool class my_mp(object): def __init__(self): self.process_num = 3…
I am trying to run two python files (A.py and B.py) at the same time. I tried to run them in two different and use two separate commands to run them, it works well. The problem is, I hope to…