benderthon/util.py
def restore_from_checkpoint(sess, input_checkpoint):
    """Return a TensorFlow saver from a checkpoint containing the metagraph."""
    saver = tf.train.import_meta_graph('{}.meta'.format(input_checkpoint))
    saver.restore(sess, input_checkpoint)
    return saver
def restore_from_checkpoint(sess, input_checkpoint):
    saver = tf.train.import_meta_graph('{}.meta'.format(input_checkpoint))
    saver.restore(sess, input_checkpoint)
    return saver
def restore_from_checkpoint ( sess , input_checkpoint ) : saver = tf . train . import_meta_graph ( '{}.meta' . format ( input_checkpoint ) ) saver . restore ( sess , input_checkpoint ) return saver
Return a TensorFlow saver from a checkpoint containing the metagraph.
Return a TensorFlow saver from a checkpoint containing the metagraph .