"""Module for testing prompt tokenizers."""
import json
import logging
import unittest
from pathlib import Path
from transformers import AutoTokenizer
from axolotl.prompt_strategies.alpaca_chat import NoSystemPrompter
from axolotl.prompt_strategies.alpaca_w_system import (
InstructionWSystemPromptTokenizingStrategy,
SystemDataPrompter,
)
from axolotl.prompt_tokenizers import (
AlpacaPromptTokenizingStrategy,
ShareGPTPromptTokenizingStrategy,
)
from axolotl.prompters import AlpacaPrompter, PromptStyle, ShareGPTPrompter
logging.basicConfig(level="INFO")
class TestPromptTokenizationStrategies(unittest.TestCase):
"""
Test class for prompt tokenization strategies.
"""
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_sharegpt_integration(self):
with open(
Path(__file__).parent / "fixtures/conversation.json", encoding="utf-8"
) as fin:
data = fin.read()
conversation = json.loads(data)
with open(
Path(__file__).parent / "fixtures/conversation.tokenized.json",
encoding="utf-8",
) as fin:
data = fin.read()
tokenized_conversation = json.loads(data)
prompter = ShareGPTPrompter("chat")
strat = ShareGPTPromptTokenizingStrategy(
prompter,
self.tokenizer,
False,
2048,
)
example = strat.tokenize_prompt(conversation)
for fields in ["input_ids", "attention_mask", "labels"]:
self.assertEqual(len(example[fields]), len(tokenized_conversation[fields]))
self.assertEqual(example[fields], tokenized_conversation[fields])
def test_no_sys_prompt(self):
"""
tests the interface between the user and assistant parts
"""
prompter = NoSystemPrompter()
# pylint: disable=duplicate-code
strat = AlpacaPromptTokenizingStrategy(
prompter,
self.tokenizer,
False,
2048,
)
sample = {
"instruction": "hello cruel. lorem ipsum dolor sit amet.",
"output": "world!",
}
example = strat.tokenize_prompt(sample)
world_idx = example["input_ids"].index(3186)
assert example["labels"][world_idx] == 3186
assert example["labels"][world_idx - 1] == -100
def test_alpaca(self):
"""
tests the interface between the user and assistant parts
"""
# pylint: disable=duplicate-code
prompter = AlpacaPrompter()
strat = AlpacaPromptTokenizingStrategy(
prompter,
self.tokenizer,
False,
2048,
)
sample = {"instruction": "hello!", "output": "Hi! How can I help?"}
example = strat.tokenize_prompt(sample)
world_idx = example["input_ids"].index(6324)
assert example["labels"][world_idx] == 6324
assert example["labels"][world_idx - 1] == -100
class InstructionWSystemPromptTokenizingStrategyTest(unittest.TestCase):
"""
Test class for prompt tokenization strategies with sys prompt from the dataset
"""
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_system_alpaca(self):
prompter = SystemDataPrompter(PromptStyle.CHAT.value)
strat = InstructionWSystemPromptTokenizingStrategy(
prompter,
self.tokenizer,
False,
2048,
)
sample = {
"system": "use cot",
"instruction": "hello!",
"output": "Hi! How can I help?",
}
example = strat.tokenize_prompt(sample)
assert example["input_ids"][0:3] == [1, 671, 20118] # use cot
assert example["input_ids"][3] == 11889 # USER
if __name__ == "__main__":
unittest.main()