code: def all_reduce_v3(
      communicator,
      t,
      reduction="Add",
      group_assignment=None,
      timeout_seconds=None,
  ):
      """Reduces tensors mutually.
  
      Args:
        communicator: the resource `tf.Tensor` returned from
          `initialize_communicator`.
        t: the `tf.Tensor` to be reduced.
        reduction: a string. The name of the operation to reduce the values.
          Accpeted values are `"min"`, `"max"`, `"mul"`, `"add"`.
        group_assignment: Optional int32 `tf.Tensor` with shape [num_groups,
          num_ranks_per_group]. `group_assignment[i]` represents the ranks in the
          `ith` subgroup.
        timeout_seconds: If set to a non zero, set a completion timeout to detect
          staleness. If the timer goes off, a DeadlineExceededError is raised. The
          timeout value in seconds. This feature is experimental.
  
      Returns:
        The reduced `tf.Tensor`.
      """
      if group_assignment is None:
          group_assignment = []
      return gen_collective_ops.collective_reduce_v3(
          communicator=communicator,
          input=t,
          group_assignment=group_assignment,
          reduction=reduction,
          timeout_seconds=timeout_seconds,
      )
  
file_path: tensorflow/tensorflow/python/ops/collective_ops.py
imports: from tensorflow.python.ops import gen_collective_ops
label_desc: Use image node_id 11 for calling a global function with example usage: all_reduce_v3(communicator, t, reduction, group_assignment, timeout_seconds) and returns: gen_collective_ops