(value)
return tf.train.Feature(bytes_list=tf.train.BytesList(value=[str(value)]))
Wrapper for inserting a bytes Feature into a SequenceExample proto.
Wrapper for inserting a bytes Feature into a SequenceExample proto.
Wrapper for inserting a bytes Feature into a SequenceExample proto .
def _bytes_feature(value):
    """Wrapper for inserting a bytes Feature into a SequenceExample proto."""
    return tf.train.Feature(bytes_list=tf.train.BytesList(value=[str(value)]))
def _bytes_feature ( value ) : return tf . train . Feature ( bytes_list = tf . train . BytesList ( value = [ str ( value ) ] ) )