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https://github.com/ml-explore/mlx-examples.git
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0f135396ae
* unify with stream_generate * fixes * nit * some cleanup, warnings, tests * fix test + faster min p + test * version
57 lines
1.4 KiB
Python
57 lines
1.4 KiB
Python
# Copyright © 2024 Apple Inc.
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import unittest
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from mlx_lm.sample_utils import make_logits_processors
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from mlx_lm.utils import generate, load
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class TestGenerate(unittest.TestCase):
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@classmethod
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def setUpClass(cls):
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HF_MODEL_PATH = "mlx-community/Qwen1.5-0.5B-Chat-4bit"
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cls.model, cls.tokenizer = load(HF_MODEL_PATH)
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def test_generate(self):
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# Simple test that generation runs
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text = generate(
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self.model, self.tokenizer, "hello", max_tokens=5, verbose=False
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)
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def test_generate_with_logit_bias(self):
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logit_bias = {0: 2000.0, 1: -20.0}
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text = generate(
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self.model,
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self.tokenizer,
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"hello",
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max_tokens=5,
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logits_processors=make_logits_processors(logit_bias),
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verbose=False,
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)
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self.assertEqual(text, "!!!!!")
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def test_generate_with_processor(self):
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init_toks = self.tokenizer.encode("hello")
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all_toks = None
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def logits_processor(toks, logits):
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nonlocal all_toks
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all_toks = toks
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return logits
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generate(
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self.model,
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self.tokenizer,
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"hello",
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max_tokens=5,
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verbose=False,
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logits_processors=[logits_processor],
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)
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self.assertEqual(len(all_toks), len(init_toks) + 5)
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if __name__ == "__main__":
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unittest.main()
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