def __init__()

in text-semantic-search/semantic_search/utils/embedding.py [0:0]

• 14 lines of code
• 1 McCabe index (conditional complexity)

  def __init__(self):

    logging.info('Initialising embedding utility...')
    embed_module = hub.Module(MODULE_URL)
    placeholder = tf.placeholder(dtype=tf.string)
    embed = embed_module(placeholder)
    session = tf.Session()
    session.run([tf.global_variables_initializer(), tf.tables_initializer()])
    logging.info('tf.Hub module is loaded.')

    def _embeddings_fn(sentences):
      computed_embeddings = session.run(
        embed, feed_dict={placeholder: sentences})
      return computed_embeddings

    self.embedding_fn = _embeddings_fn
    logging.info('Embedding utility initialised.')