code: def RetrieveAsset(logdir, plugin_name, asset_name):
    
  
    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))
docs: 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.