class_docstr: Base wrapper class.
class_docstr_tok: ["Base","wrapper","class","."]
docstr: Initializations to be run once the tf.Session is available.
docstr_tok: ["Initializations","to","be","run","once","the","tf.Session","is","available","."]
code: def initialize(self, sess):
      """Initializations to be run once the tf.Session is available."""
      pass
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from six.moves import range
  from tensor2tensor.rl.envs.in_graph_batch_env import InGraphBatchEnv
  import tensorflow.compat.v1
label_desc: Use image node_id 2 for calling the WrapperBase obj's underlying member method code with example usage: obj.initialize(sess) without return types