code: def RetrieveAsset(logdir, plugin_name, asset_name):
      """Retrieve a particular plugin asset from a logdir.
  
      Args:
        logdir: A directory that was created by a TensorFlow summary.FileWriter.
        plugin_name: The plugin we want an asset from.
        asset_name: The name of the requested asset.
  
      Returns:
        string contents of the plugin asset.
  
      Raises:
        KeyError: if the asset does not exist.
      """
  
      asset_path = os.path.join(
          PluginDirectory(logdir, plugin_name), asset_name
      )
      try:
          with tf.io.gfile.GFile(asset_path, "r") as f:
              return f.read()
      except tf.errors.NotFoundError:
          raise KeyError("Asset path %s not found" % asset_path)
      except tf.errors.OpError as e:
          raise KeyError(
              "Couldn't read asset path: %s, OpError %s"
              % (asset_path, e)
          )
  
imports: import os.path
  from tensorboard.compat import tf
label_desc: Use image node_id 5 for calling a global function with example usage: RetrieveAsset(logdir, plugin_name, asset_name) and returns: f