def start_test(train_iter, dev_iter, test_iter, model, alphabet, config): """ :param train_iter: train batch data iterator :param dev_iter: dev batch data iterator :param test_iter: test batch data iterator :param model: nn model :param alphabet: alphabet dict :param config: config :return: None """ print("\nTesting Start......") data, path_source, path_result = load_test_data(train_iter, dev_iter, test_iter, config) infer = T_Inference(model=model, data=data, path_source=path_source, path_result=path_result, alphabet=alphabet, config=config) infer.infer2file() print("Finished Test.")
def start_test(train_iter, dev_iter, test_iter, model, alphabet, config): """ :param train_iter: train batch data iterator :param dev_iter: dev batch data iterator :param test_iter: test batch data iterator :param model: nn model :param alphabet: alphabet dict :param config: config :return: None """ print("\nTesting Start......") print("Test is not Complete Now, Future will update, Sorry.") exit() data, path_source, path_result = load_test_data(train_iter, dev_iter, test_iter, config) infer = T_Inference(model=model, data=data, path_source=path_source, path_result=path_result, alphabet=alphabet, use_crf=config.use_crf, config=config) infer.infer2file() print("Finished Test.")