adanet/core/estimator.py [1458:1468]:
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    with tf_compat.v1.Session(config=self.config.session_config) as sess:
      init = tf.group(
          tf_compat.v1.global_variables_initializer(),
          tf_compat.v1.local_variables_initializer(),
          tf_compat.v1.tables_initializer(),
          current_iteration.estimator_spec.scaffold.local_init_op if isinstance(
              current_iteration.estimator_spec,
              tf.estimator.EstimatorSpec) else tf.no_op())
      sess.run(init)

      if self._enable_v2_checkpoint:
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adanet/core/estimator.py [1549:1559]:
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    with tf_compat.v1.Session(config=self.config.session_config) as sess:
      init = tf.group(
          tf_compat.v1.global_variables_initializer(),
          tf_compat.v1.local_variables_initializer(),
          tf_compat.v1.tables_initializer(),
          current_iteration.estimator_spec.scaffold.local_init_op if isinstance(
              current_iteration.estimator_spec,
              tf.estimator.EstimatorSpec) else tf.no_op())
      sess.run(init)

      if self._enable_v2_checkpoint:
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