code: def broadcast_recv(
      shape,
      dtype,
      group_size,
      group_key,
      instance_key,
      communication_hint="auto",
      timeout=0,
  ):
      """Receives a broadcasts tensor, across devices.
  
      Args:
        shape: Shape of the tensor to be received.
        dtype: Type of the tensor to be received.
        group_size: one plus the number of receiving tensors, i.e. the total
          number of devices participating.  Each tensor must reside on a
          different device.
        group_key: an integer identifying the group of devices.
        instance_key: an integer identifying the participating group of Ops.
        communication_hint: preferred collective communication.  The implementation
          may fall back to another mechanism.  Options include `auto`, `ring`, and
          `nccl`.
        timeout: 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:
        An Op implementing the broadcast receive.
  
      Raises:
        ValueError: if any of the input parameter constraints are not met.
      """
      if group_size <= 1:
          raise ValueError(
              "Parameter `group_size` to broadcast_send must be at least 2. "
              f"Received: {group_size}."
          )
      return gen_collective_ops.collective_bcast_recv(
          shape=shape,
          T=dtype,
          group_size=group_size,
          group_key=group_key,
          instance_key=instance_key,
          communication_hint=communication_hint.lower(),
          timeout_seconds=timeout,
      )
  
file_path: tensorflow-upstream/tensorflow/python/ops/collective_ops.py
imports: from tensorflow.python.ops import gen_collective_ops
label_desc: Use image node_id 8 for calling a global function with example usage: broadcast_recv(shape, dtype, group_size, group_key, instance_key, communication_hint, timeout) and returns: gen_collective_ops