code: def _prefixed_func_name(prefix, func_name):
      """Returns function name prefixed with `prefix`.
  
      For function libraries, which are often created out of autographed Python
      function, are factored out in the graph vis. They are grouped under a
      function name which often has a shape of
      `__inference_[py_func_name]_[numeric_suffix]`.
  
      While it does not have some unique information about which graph it is from,
      creating another wrapping structure with graph prefix and "/" is less than
      ideal so we join the prefix and func_name using underscore.
  
      TODO(stephanwlee): add business logic to strip "__inference_" for more user
      friendlier name
      """
      return "%s_%s" % (prefix, func_name)
  
imports: from tensorboard.compat.proto import graph_pb2
label_desc: Use image node_id 2 for calling a global function with example usage: _prefixed_func_name(prefix, func_name) and returns: unknown