Version: 9.6.2534
Language: Python
Solver - Routing Solver
OS - Ubuntu 22.04
Steps to reproduce the behavior:
def solve(self):
search_parameters = pywrapcp.DefaultRoutingSearchParameters()
search_parameters.time_limit.seconds = {
"max": 120,
"min": 5,
"ratio": 1
}
search_parameters.first_solution_strategy = 'AUTOMATIC'
if self.routing_options['local_search_metaheuristic']:
search_parameters.local_search_metaheuristic = 'GUIDED_LOCAL_SEARCH`
search_parameters.log_search = true
search_parameters.use_cp_sat = false
return self.get_solution(self.routing_model.SolveWithParameters(search_parameters))
Before this I have created the Routing Model object
What did you expect to see
Routes getting created
What did you see instead?
Huge memory surge from 120 MB -> 1.6 GB and continuously increasing leading to restart of Docker container.
I am running the same code on Ubuntu 20.04 with Python 3.8, its working perfectly fine
Another observation is that if I add @Profile (memory_profiler) decorator to Solve function then it works fine.
Error Message below
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
I0000 00:00:1689454096.761452 15 routing.cc:3379] All Unperformed Solution (5980000000, time = 70 ms, memory used = 353.11 MB)
I0000 00:00:1689454096.762653 15 search.cc:265] Start search (memory used = 353.11 MB)
I0000 00:00:1689454096.774135 15 search.cc:265] Root node processed (time = 11 ms, constraints = 6279, memory used = 353.15 MB)
[2023-07-15 20:48:34,789: ERROR/MainProcess] Process 'ForkPoolWorker-1' pid:15 exited with 'signal 9 (SIGKILL)'
[2023-07-15 20:48:34] [ERROR] [f:request.py] [l:544] [n:celery.worker.request] Task handler raised error: WorkerLostError('Worker exited prematurely: signal 9 (SIGKILL).')
Traceback (most recent call last):
File "/usr/local/lib/python3.10/dist-packages/billiard/pool.py", line 1265, in mark_as_worker_lost
raise WorkerLostError(
billiard.exceptions.WorkerLostError: Worker exited prematurely: signal 9 (SIGKILL).
Make sure you include information that can help us debug (full error message, model Proto).
Anything else we should know about your project / environment
Its solving the VRP problem with around 400 tasks.
If you need exact steps to reproduce, please let me know, i will try to add more details
Version: 9.6.2534
Language: Python
Solver - Routing Solver
OS - Ubuntu 22.04
Steps to reproduce the behavior:
Before this I have created the Routing Model object
What did you expect to see
Routes getting created
What did you see instead?
Huge memory surge from 120 MB -> 1.6 GB and continuously increasing leading to restart of Docker container.
I am running the same code on Ubuntu 20.04 with Python 3.8, its working perfectly fine
Another observation is that if I add @Profile (memory_profiler) decorator to Solve function then it works fine.
Error Message below
Make sure you include information that can help us debug (full error message, model Proto).
Anything else we should know about your project / environment
Its solving the VRP problem with around 400 tasks.
If you need exact steps to reproduce, please let me know, i will try to add more details