code: def text_summary(tag, text):
      """Outputs a `Summary` protocol buffer with audio data.
  
      Parameters
      ----------
          tag : str
              A name for the generated summary. Will also serve as a series name in TensorBoard.
          text : str
              Text data.
  
      Returns
      -------
          A `Summary` protobuf of the audio data.
      """
      plugin_data = [SummaryMetadata.PluginData(plugin_name="text")]
      smd = SummaryMetadata(plugin_data=plugin_data)
      tensor = TensorProto(
          dtype="DT_STRING",
          string_val=[text.encode(encoding="utf_8")],
          tensor_shape=TensorShapeProto(
              dim=[TensorShapeProto.Dim(size=1)]
          ),
      )
      return Summary(
          value=[
              Summary.Value(node_name=tag, metadata=smd, tensor=tensor)
          ]
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import logging
  import io
  import wave
  import struct
  import json
  import re
  import numpy
  from mxnet.ndarray import NDArray
  from mxnet.symbol import Symbol
  from mxnet.gluon import HybridBlock
  from .proto.summary_pb2 import Summary
  from .proto.summary_pb2 import HistogramProto
  from .proto.summary_pb2 import SummaryMetadata
  from .proto.tensor_pb2 import TensorProto
  from .proto.tensor_shape_pb2 import TensorShapeProto
  from .proto.plugin_pr_curve_pb2 import PrCurvePluginData
  from .proto.node_def_pb2 import NodeDef
  from .proto.graph_pb2 import GraphDef
  from .proto.attr_value_pb2 import AttrValue
  from .proto.versions_pb2 import VersionDef
  from .utils import _make_numpy_array, _prepare_image
label_desc: Use image node_id 8 for calling a global function with example usage: text_summary(tag, text) and returns: Summary