evaluate_with_lexicon

[DYF-AI]

I changed evaluate_with_lexicon:False to True from config.py, the following question “UnboundLocalError: local variable 'embeds_' referenced before assignment" appeared, evaluators.py `class Evaluator(BaseEvaluator): def parse_data(self, inputs): input_dict = {} if global_args.evaluate_with_lexicon: imgs, label_encs, lengths, file_name = inputs else: # imgs, label_encs, lengths = inputs imgs, label_encs, lengths, embeds = inputs

    with torch.no_grad():
        images = imgs.to(self.device)
        if label_encs is not None:
            labels = label_encs.to(self.device)
        if embeds_ is not None:
            embeds = embeds_.to(self.device)
    input_dict['images'] = images
    input_dict['rec_targets'] = labels
    input_dict['rec_lengths'] = lengths
    input_dict['rec_embeds'] = embeds
    if global_args.evaluate_with_lexicon:
        input_dict['file_name'] = file_name
    return input_dict`

Obviously, file_name and embeds_ cannot exist at the same time， how to solve this problem? Thank you！[](url)

[Pay20Y]

I'm sorry, I haven't implemented this part of code yet. I just use another post-processing script to replace the predicted results with the words in the lexicons.

[DYF-AI]

okay, thank you for your outstanding work