| | """ |
| | test module for the axolotl.utis.data module |
| | """ |
| | import unittest |
| |
|
| | from transformers import LlamaTokenizer |
| |
|
| | from axolotl.utils.data import encode_pretraining, md5 |
| |
|
| |
|
| | class TestEncodePretraining(unittest.TestCase): |
| | """ |
| | test class for encode pretraining and md5 helper |
| | """ |
| |
|
| | def setUp(self): |
| | self.tokenizer = LlamaTokenizer.from_pretrained("huggyllama/llama-7b") |
| | self.tokenizer.add_special_tokens( |
| | { |
| | "eos_token": "</s>", |
| | "bos_token": "<s>", |
| | "unk_token": "<unk>", |
| | "pad_token": "<pad>", |
| | } |
| | ) |
| | self.max_tokens = 15 |
| |
|
| | def test_encode_pretraining(self): |
| | examples = { |
| | "text": [ |
| | "Hello, world!", |
| | "Nice to meet you.", |
| | "lorem ipsum dolor sit amet.", |
| | "Nice to meet you again!.", |
| | "hello, hello", |
| | ] |
| | } |
| | result = encode_pretraining(self.tokenizer, self.max_tokens, examples["text"]) |
| |
|
| | self.assertEqual(len(result["input_ids"]), 3) |
| |
|
| | |
| | self.assertEqual(len(result["input_ids"][0]), self.max_tokens) |
| | self.assertEqual(len(result["attention_mask"][0]), self.max_tokens) |
| |
|
| | |
| | |
| | self.assertEqual(result["input_ids"][0][0], self.tokenizer.bos_token_id) |
| | self.assertEqual(result["input_ids"][0][5], self.tokenizer.eos_token_id) |
| | self.assertEqual(result["input_ids"][0][6], self.tokenizer.pad_token_id) |
| | |
| | self.assertEqual(result["input_ids"][0][7], self.tokenizer.bos_token_id) |
| | self.assertEqual(result["input_ids"][0][13], self.tokenizer.eos_token_id) |
| | self.assertEqual(result["input_ids"][0][14], self.tokenizer.pad_token_id) |
| |
|
| | def test_md5(self): |
| | self.assertEqual(md5("hello world"), "5eb63bbbe01eeed093cb22bb8f5acdc3") |
| | self.assertEqual( |
| | md5("hello world", "utf-8"), "5eb63bbbe01eeed093cb22bb8f5acdc3" |
| | ) |
| |
|
| |
|
| | if __name__ == "__main__": |
| | unittest.main() |
| |
|