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"""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": "<s>",
"eos_token": "</s>",
"unk_token": "<unk>",
}
)
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()
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