class_docstr: Graphs Plugin for TensorBoard.
class_docstr_tok: ["Graphs","Plugin","for","TensorBoard","."]
code: def _read_blob(self, ctx, experiment, plugin_names, run, tag):
      for plugin_name in plugin_names:
          blob_sequences = self._data_provider.read_blob_sequences(
              ctx,
              experiment_id=experiment,
              plugin_name=plugin_name,
              run_tag_filter=provider.RunTagFilter(
                  runs=[run], tags=[tag]
              ),
              downsample=1,
          )
          blob_sequence_data = blob_sequences.get(run, {}).get(tag, ())
          try:
              blob_ref = blob_sequence_data[0].values[0]
          except IndexError:
              continue
          return self._data_provider.read_blob(
              ctx, blob_key=blob_ref.blob_key
          )
      raise errors.NotFoundError()
  
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 7 for calling the GraphsPlugin obj's underlying member method code with example usage: obj._read_blob(ctx, experiment, plugin_names, run, tag) and returns: self