class_docstr: Graphs Plugin for TensorBoard.
class_docstr_tok: ["Graphs","Plugin","for","TensorBoard","."]
docstr: Result of the form `(body, mime_type)`; may raise `NotFound`.
docstr_tok: ["Result","of","the","form","`","(","body",",","mime_type",")","`",";","may","raise","`","NotFound","`","."]
code: def run_metadata_impl(self, ctx, experiment, run, tag):
      """Result of the form `(body, mime_type)`; may raise `NotFound`."""
      # Profile graph: could be either of two plugins. (Cf. `info_impl`.)
      plugins = [
          metadata.PLUGIN_NAME_TAGGED_RUN_METADATA,
          metadata.PLUGIN_NAME_RUN_METADATA,
      ]
      raw_run_metadata = self._read_blob(
          ctx, experiment, plugins, run, tag
      )
      run_metadata = config_pb2.RunMetadata.FromString(raw_run_metadata)
      return (str(run_metadata), "text/x-protobuf")
  
imports: import json
  from werkzeug import wrappers
  from tensorboard import errors
  from tensorboard import plugin_util
  from tensorboard.backend import http_util
  from tensorboard.backend import process_graph
  from tensorboard.compat.proto import config_pb2
  from tensorboard.compat.proto import graph_pb2
  from tensorboard.data import provider
  from tensorboard.plugins import base_plugin
  from tensorboard.plugins.graph import graph_util
  from tensorboard.plugins.graph import keras_util
  from tensorboard.plugins.graph import metadata
  from tensorboard.util import tb_logging
label_desc: Use image node_id 9 for calling the GraphsPlugin obj's underlying member method code with example usage: obj.run_metadata_impl(ctx, experiment, run, tag) and returns: str,  str