code: def Synchronize(model, timeout_sec=_DEFAULT_BARRIER_NET_TIMEOUT_SEC):
      warnings.warn(
          "The Synchronize API has been deprecated.  We now have a "
          "barrier net which runs before training to ensure all hosts wait "
          "before training starts.  The default timeout for the barrier is "
          "300s and it can be overridden using the barrier_net_timeout_sec "
          "parameter when calling Parallelize.",
          category=DeprecationWarning,
          stacklevel=2,
      )
      if (
          model._rendezvous is None
          or model._rendezvous["num_shards"] <= 1
      ):
          # Single host case
          return
  
      if model._sync_barrier_net is None:
          barrier_init_net = core.Net("sync_barrier_init_net")
          model._sync_barrier_net = _CreateBarrierNet(
              model, barrier_init_net, "sync", timeout_sec
          )
          workspace.RunNetOnce(barrier_init_net)
          workspace.CreateNet(model._sync_barrier_net)
          model._sync_barrier_net_timeout = timeout_sec
      assert (
          model._sync_barrier_net_timeout == timeout_sec
      ), "Must use fixed timeout, {} != {}".format(
          model._sync_barrier_net_timeout, timeout_sec
      )
      log.info("Synchronize run barrier net.")
      workspace.RunNet(model._sync_barrier_net)
  
imports: from collections import OrderedDict
  import logging
  import copy
  from multiprocessing import cpu_count
  from caffe2.python import model_helper, dyndep, scope, workspace, core, memonger, utils
  from caffe2.proto import caffe2_pb2
  import numpy
  import warnings
label_desc: Use image node_id 14 for calling a global function with example usage: Synchronize(model, timeout_sec) without return types