class_docstr: Returns an existing session.
class_docstr_tok: ["Returns","an","existing","session","."]
docstr: Args:
      sess (tf.Session): the session to reuse
docstr_tok: ["Args",":","sess","(","tf.Session",")",":","the","session","to","reuse"]
code: def __init__(self, sess):
      """
      Args:
          sess (tf.Session): the session to reuse
      """
      self.sess = sess
  
file_path: tensorpack/tensorpack/tfutils/sesscreate.py
imports: from ..compat import tfv1
  from ..utils import logger
  from .common import get_default_sess_config
label_desc: Use image node_id 1 to create a new ReuseSessionCreator object from inherited base classes: tf.train with example: obj = ReuseSessionCreator(sess)