class_docstr: Hook that runs data-dependent initialization once before the first step.
  
  The init op is stored in the tf collection glow_init_op. Look at the
  "body" in glow.py for more details.
code: def after_create_session(self, session, coord):
      del coord
      global_step = session.run(tf.train.get_global_step())
      if global_step == 0:
          ddi = tf.get_collection("glow_init_op")
          # In-case of a multi-GPU system, this just runs the first op in the
          # collection.
          if ddi:
              session.run(ddi[0])
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tensorflow.compat.v1
label_desc: Use image node_id 1 for calling the GlowInitHook obj's underlying member method code with example usage: obj.after_create_session(session, coord) without return types