data_utils.py 文件源码

def get_data(self, path, batch_size=20):
        # Add words to the dictionary
        with open(path, 'r') as f:
            tokens = 0
            for line in f:
                words = line.split() + ['<eos>']
                tokens += len(words)
                for word in words: 
                    self.dictionary.add_word(word)  

        # Tokenize the file content
        ids = torch.LongTensor(tokens)
        token = 0
        with open(path, 'r') as f:
            for line in f:
                words = line.split() + ['<eos>']
                for word in words:
                    ids[token] = self.dictionary.word2idx[word]
                    token += 1
        num_batches = ids.size(0) // batch_size
        ids = ids[:num_batches*batch_size]
        return ids.view(batch_size, -1)