cf0c79d52e
* fix: update chat_template * fix: handle gemma3 showing a lot of no content for turn 0 * fix: remove unknown config from examples * fix: test * fix: temporary disable gemma2 test * fix: stop overwriting config.text_config unnecessarily * fix: handling of set cache to the text_config section * feat: add liger gemma support and bump liger to 0.5.5 * fix: add double use_cache setting * fix: add support for final_logit_softcap in CCE for gemma2/3 * fix: set use_cache before model load * feat: add missing layernorm override * fix: handle gemma3 rmsnorm * fix: use wrapper to pass dim as hidden_size * fix: change dim to positional * fix: patch with wrong mlp * chore: refactor use_cache handling * fix import issues * fix tests.e2e.utils import --------- Co-authored-by: Wing Lian <wing@axolotl.ai>
69 lines
2.2 KiB
Python
69 lines
2.2 KiB
Python
"""
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test module for the axolotl.utils.data module
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"""
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import unittest
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from transformers import LlamaTokenizer
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from axolotl.utils.data import encode_pretraining, md5
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from tests.hf_offline_utils import enable_hf_offline
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class TestEncodePretraining(unittest.TestCase):
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"""
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test class for encode pretraining and md5 helper
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"""
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@enable_hf_offline
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def setUp(self):
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self.tokenizer = LlamaTokenizer.from_pretrained("huggyllama/llama-7b")
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self.tokenizer.add_special_tokens(
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{
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"eos_token": "</s>",
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"bos_token": "<s>",
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"unk_token": "<unk>",
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"pad_token": "<pad>",
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}
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)
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self.max_tokens = 15 # set a small number for easy inspection
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def test_encode_pretraining(self):
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examples = {
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"text": [
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"Hello, world!",
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"Nice to meet you.",
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"lorem ipsum dolor sit amet.",
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"Nice to meet you again!.",
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"hello, hello",
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]
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}
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result = encode_pretraining(self.tokenizer, self.max_tokens, examples)
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self.assertEqual(len(result["input_ids"]), 3)
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# Assert the length of input_ids and attention_mask is correct
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self.assertEqual(len(result["input_ids"][0]), self.max_tokens)
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self.assertEqual(len(result["attention_mask"][0]), self.max_tokens)
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# Assert EOS and PAD tokens are correctly added
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# hello world! is 4 tokens
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self.assertEqual(result["input_ids"][0][0], self.tokenizer.bos_token_id)
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self.assertEqual(result["input_ids"][0][5], self.tokenizer.eos_token_id)
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self.assertEqual(result["input_ids"][0][6], self.tokenizer.pad_token_id)
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# second part, 5 tokens
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self.assertEqual(result["input_ids"][0][7], self.tokenizer.bos_token_id)
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self.assertEqual(result["input_ids"][0][13], self.tokenizer.eos_token_id)
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self.assertEqual(result["input_ids"][0][14], self.tokenizer.pad_token_id)
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def test_md5(self):
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self.assertEqual(md5("hello world"), "5eb63bbbe01eeed093cb22bb8f5acdc3")
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self.assertEqual(
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md5("hello world", "utf-8"), "5eb63bbbe01eeed093cb22bb8f5acdc3"
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)
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if __name__ == "__main__":
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unittest.main()
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