code: def send_graph_tracebacks(
      destinations, run_key, origin_stack, graph, send_source=True
  ):
      """Send the tracebacks of a graph execution call to debug server(s).
  
      Args:
        destinations: gRPC destination addresses, a `str` or a `list` of `str`s,
          e.g., "localhost:4242". If a `list`, gRPC requests containing the same
          `CallTraceback` proto payload will be sent to all the destinations.
        run_key: A string describing the feeds, fetches (and targets) names of the
          `tf.Session.run` call.
        origin_stack: The traceback of the `tf.Session.run()` invocation.
        graph: A Python `tf.Graph` object (i.e., *not* a `tf.compat.v1.GraphDef`),
          which contains op tracebacks.
        send_source: Whether the source files involved in the op tracebacks but
          outside the TensorFlow library are to be sent.
      """
      _send_call_tracebacks(
          destinations,
          origin_stack,
          is_eager_execution=False,
          call_key=run_key,
          graph=graph,
          send_source=send_source,
      )
  
file_path: tensorflow-upstream/tensorflow/python/debug/lib/source_remote.py
imports: import socket
  import grpc
  from tensorflow.core.debug import debug_service_pb2
  from tensorflow.core.protobuf import debug_pb2
  from tensorflow.python.debug.lib import common
  from tensorflow.python.debug.lib import debug_service_pb2_grpc
  from tensorflow.python.debug.lib import source_utils
  from tensorflow.python.platform import gfile
  from tensorflow.python.profiler import tfprof_logger
label_desc: Use image node_id 6 for calling a global function with example usage: send_graph_tracebacks(destinations, run_key, origin_stack, graph, send_source) without return types