def scaffold_fn(): return tf.train.Scaffold( local_init_op=tf.group( tf.train.Scaffold.default_local_init_op(), lowering.copy_masters_to_slices(), name="mtf_local_init_op"), ready_op=tf.concat( [tf.report_uninitialized_variables(), resources.report_uninitialized_resources()], axis=0, name="mtf_ready_op"))
def default_ready_op(): return array_ops.concat([ variables.report_uninitialized_variables(), resources.report_uninitialized_resources() ], 0)
def default_ready_for_local_init_op(): return tf.concat([ tf.report_uninitialized_variables(tf.global_variables()), resources.report_uninitialized_resources(resources.shared_resources()) ], 0)