code: def graph_info_run_tag_filter(run, graph_id):
      """Create a RunTagFilter for graph info.
  
      Args:
        run: tfdbg2 run name.
        graph_id: Debugger-generated ID of the graph in question.
  
      Returns:
        `RunTagFilter` for the run and range of graph info.
      """
      if not graph_id:
          raise ValueError("graph_id must not be None or empty.")
      return provider.RunTagFilter(
          runs=[run],
          tags=["%s_%s" % (GRAPH_INFO_BLOB_TAG_PREFIX, graph_id)],
      )
  
imports: import json
  from tensorboard.data import provider
  from tensorboard.plugins.debugger_v2 import debug_data_multiplexer
label_desc: Use image node_id 13 for calling a global function with example usage: graph_info_run_tag_filter(run, graph_id) and returns: provider