Experimenting with disabling automatic init

    self.train_op = self.get_training_op(self.loss_op)

    # Initialize

    self.init_fn = tf.initialize_all_variables()

    self.init_fn = tf.global_variables_initializer()

    sess.run(self.init_fn)  

  def get_training_op(self, loss):

# This boolean flag can be set to True to leave variable initialization

# up to the user.

# Change its value via `manual_variable_initialization(value)`.

_MANUAL_VAR_INIT = False

_MANUAL_VAR_INIT = True

_UID_PREFIXES = defaultdict(int)

# This dictionary holds a mapping {graph: learning_phase}.

# A learning phase is a bool tensor used to run Keras models in