[codecompletion-token] split function in code/dataset.py

[dlduddk]

    def split(self, input_ids, tokenizer, logger, block_size=1024):
        sample = []
        i = 0
        while i < len(input_ids):
            sample = input_ids[i: i+block_size]
            if len(sample) == block_size:
                for j in range(block_size):
                    if tokenizer.convert_ids_to_tokens(sample[block_size-1-j])[0] == '\u0120' or tokenizer.convert_ids_to_tokens(sample[block_size-1-j]).startswith("<NUM_LIT"):
                        break
                    if sample[block_size-1-j] in [tokenizer.bos_token_id, tokenizer.eos_token_id, tokenizer.sep_token_id]:
                        if sample[block_size-1-j] != tokenizer.bos_token_id:
                            j -= 1
                        break
                if j == block_size-1:
                    print(tokenizer.decode(sample))
                    exit()
                sample = sample[: block_size-1-j]
            # print(len(sample))
            i += len(sample)
            pad_len = block_size-len(sample)
            sample += [tokenizer.pad_token_id]*pad_len
            self.inputs.append(sample)

            if len(self.inputs) % 10000 == 0:
                logger.info(f"{len(self.inputs)} samples")

When I use LlamaTokenizer, it becomes exit() in this code. But when I use GPT2Tokenizer, it was okay. How can I solve it?