if __name__ == '__main__':
global stop_server
global pause_server
stop_server = False
pause_server = False
torch.multiprocessing.set_start_method("forkserver")
args = parse_args()
n_cpus = args.n_cpus
port_number = args.port_number
server_url = '0.0.0.0'
# Server Settings
print('=============== Server Settings:')
print('Server URL: ', server_url)
print('Port Number:', port_number)
print('Num CPUs:', n_cpus)
print()
# Initiate variables and start server
eval_server = EvaluatorServer(n_cpus)
server = SimpleXMLRPCServer((server_url, port_number))
server.register_instance(eval_server)
# Run untill cancellation
try:
while not stop_server:
server.handle_request()
except Exception as e:
server.quit()
print("ERROR: ", str(e))
print(repr(e))
