4a3c7ac04d2dfad89681099658a1f5c05858ce19,inference.py,,do_inference,#,82

Before Change

        sys.stdout = open(os.devnull, "w")

    // Spawn new session
    with tf.Session(graph=infer_model.graph, config=nmt.utils.get_config_proto()) as sess:

        // Load model
        loaded_infer_model = nmt.inference.model_helper.load_model(infer_model.model, flags.ckpt, sess, "infer")

After Change

        // calculate number of translations to be returned
        if hparams.infer_mode == "greedy":
            num_translations_per_input = 1
        elif hparams.infer_mode == "beam_search":
            num_translations_per_input = min(hparams.num_translations_per_input, hparams.beam_width)

        answers = []
        while True:
            try:

Instances