def evaluate(model, dictionary, session_queries):
sess = Session()
sess.queries = session_queries
session_tensor, query_lengths = helper.session_to_tensor([sess],
dictionary, True)
if args.cuda:
session_tensor = session_tensor.cuda()
query_lengths = query_lengths.cuda()
return suggest_next_query(model, dictionary, session_tensor, query_lengths)
def evaluate(model, dictionary, session_queries):
session = Session()
session.queries = session_queries
session_queries, session_query_length, rel_docs, rel_docs_length, doc_labels = helper.session_to_tensor(
[session], dictionary, iseval=True)
if model.config.cuda:
session_queries = session_queries.cuda()
session_query_length = session_query_length.cuda()
return suggest_next_query(model, session_queries, session_query_length, dictionary)