make_sequence_example.py

def make_sequence_record(qid, relevances, features):
  context_feature = {"qid": _int64_feature(qid)}

  feature_list = dict()
  feature_list["relevance"] = tf.train.FeatureList(
    feature=[tf.train.Feature(float_list=tf.train.FloatList(value=[x])) for x in relevances]
  )
  feature_list["feature"] = tf.train.FeatureList(
    feature=[tf.train.Feature(float_list=tf.train.FloatList(value=feature)) for feature in features]
  )

  context = tf.train.Features(feature=context_feature)
  feature_lists = tf.train.FeatureLists(feature_list=feature_list)
  example = tf.train.SequenceExample(context=context, feature_lists=feature_lists)
  return example.SerializeToString()