"""Module for testing dataset sequence packing""" import unittest from pathlib import Path from datasets import Dataset, load_dataset from transformers import AutoTokenizer from axolotl.datasets import ConstantLengthDataset, TokenizedPromptDataset from axolotl.prompt_tokenizers import AlpacaPromptTokenizingStrategy from axolotl.prompters import AlpacaPrompter class TestPacking(unittest.TestCase): """ Test class for packing dataset sequences """ def setUp(self) -> None: # pylint: disable=duplicate-code self.tokenizer = AutoTokenizer.from_pretrained("huggyllama/llama-7b") self.tokenizer.add_special_tokens( { "bos_token": "", "eos_token": "", "unk_token": "", } ) def test_increments_attention(self): prompter = AlpacaPrompter("chat") strat = AlpacaPromptTokenizingStrategy( prompter, self.tokenizer, False, 2048, ) dateset = load_dataset( "json", data_files=str(Path(__file__).parent / "fixtures/alpaca/alpaca.json"), )["train"] dataset = Dataset.from_list(list(TokenizedPromptDataset(strat, dateset))) constant_len_dataset = ConstantLengthDataset( self.tokenizer, [dataset], seq_length=2048, ) packed_dataset = Dataset.from_list(list(constant_len_dataset)) example = packed_dataset[0] next_bos_index = ( example["input_ids"][1:].index(self.tokenizer.bos_token_id) + 1 ) # add one since we sliced # first example doesn't have mask reset assert example["input_ids"][0] == self.tokenizer.bos_token_id assert example["attention_mask"][0] == 1 assert example["position_ids"][0] == 0 assert example["position_ids"][1] == 1 # but subsequent one does assert example["input_ids"][next_bos_index] == self.tokenizer.bos_token_id assert example["attention_mask"][next_bos_index] == 2 assert example["position_ids"][next_bos_index] == 0 assert example["position_ids"][next_bos_index + 1] == 1 if __name__ == "__main__": unittest.main()