code: def push_pull_inplace(
      tensor, average=True, name=None, version=0, priority=0
  ):
      """
      A function that performs in-place averaging or summation of the input tensor over
      all the BytePS processes.
      The reduction operation is keyed by the name. If name is not provided, an incremented
      auto-generated name is used. The tensor type and shape must be the same on all
      BytePS processes for a given name. The reduction will not start until all processes
      are ready to send and receive the tensor.
      Arguments:
          tensor: A tensor to average and sum.
          average: A flag indicating whether to compute average or summation,
                   defaults to average.
          name: A name of the reduction operation.
      Returns:
          A tensor of the same shape and type as `tensor`, averaged or summed across all
          processes.
      """
      handle = push_pull_async_inplace(
          tensor, average, name, version, priority
      )
      return synchronize(handle)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from distutils.version import LooseVersion
  import torch
  from byteps.torch import c_lib
  from byteps.common import BytePSBasics
  from byteps.torch.compression import Compression
label_desc: Use image node_id 10 for calling a global function with example usage: push_pull_inplace(tensor, average, name, version, priority) and returns: synchronize