kfac/python/ops/optimizer.py [1190:1199]:
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        maybe_update_qmodel_change = self._maybe_update_qmodel_change(
            compute_qmodel_change)

        with tf.control_dependencies([maybe_update_qmodel_change]):
          # Making this a tuple is important so that it actually gets evaluated
          # in the context.
          return tuple((tf.identity(vec), var)
                       for (vec, var) in raw_updates_and_vars)
      else:
        return raw_updates_and_vars
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kfac/python/ops/optimizer.py [1226:1235]:
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        maybe_update_qmodel_change = self._maybe_update_qmodel_change(
            compute_qmodel_change)

        with tf.control_dependencies([maybe_update_qmodel_change]):
          # Making this a tuple is important so that it actually gets evaluated
          # in the context.
          return tuple((tf.identity(vec), var)
                       for (vec, var) in raw_updates_and_vars)
      else:
        return raw_updates_and_vars
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