According to the documentation of the multiprocessing.Value() class available here https://docs.python.org/3.6/library/multiprocessing.html#multiprocessing.Value

Operations like += which involve a read and write are not atomic. So if, for instance, you want to atomically increment a shared value it is insufficient to just do

counter.value += 1
Assuming the associated lock is recursive (which it is by default) you can instead do

with counter.get_lock():
    counter.value += 1

What happens is that when running the following snippet

import multiprocessing
manager = multiprocessing.Manager()
value = manager.Value('i', 0)
value.get_lock()

the result is 
AttributeError: 'ValueProxy' object has no attribute 'get_lock'