Add tables initializer in the local_init_op of the Supervisor class

[randomrandom]

One of my implementations required usage of tf.contrib.lookup.index_table_from_file which creates a hash table which needs to be initialized before training via tf.tables_initializer(). The place to do this is within the sg_train.py file, where the Supervisor class is created. E.g.:

        # console logging function
        def console_log(sess_):
            if epoch >= 0:
                tf.sg_info('\tEpoch[%03d:gs=%d] - loss = %s' %
                           (epoch, sess_.run(tf.sg_global_step()),
                            ('NA' if loss is None else '%8.6f' % loss)))

        local_init_op = tf.group(tf.sg_phase().assign(True), tf.tables_initializer())

        # create supervisor
        sv = tf.train.Supervisor(logdir=opt.save_dir,
                                 saver=saver,
                                 save_model_secs=opt.save_interval,
                                 summary_writer=summary_writer,
                                 save_summaries_secs=opt.log_interval,
                                 global_step=tf.sg_global_step(),
                                 local_init_op=local_init_op)