79 lines
2.2 KiB
Python
79 lines
2.2 KiB
Python
import unittest
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from types import SimpleNamespace
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import requests
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from sglang.bench_serving import get_tokenizer
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from sglang.srt.utils import kill_process_tree
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from sglang.test.run_eval import run_eval
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from sglang.test.test_utils import (
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DEFAULT_EAGLE_TARGET_MODEL_FOR_TEST_EAGLE3,
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DEFAULT_MODEL_NAME_FOR_TEST_EAGLE3,
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DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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DEFAULT_URL_FOR_TEST,
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CustomTestCase,
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popen_launch_server,
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)
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class TestHiCacheEagle(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = DEFAULT_EAGLE_TARGET_MODEL_FOR_TEST_EAGLE3
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cls.base_url = DEFAULT_URL_FOR_TEST
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cls.tokenizer = get_tokenizer(cls.model)
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cls.process = popen_launch_server(
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cls.model,
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cls.base_url,
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timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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other_args=[
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"--enable-hierarchical-cache",
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"--hicache-ratio",
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1.2,
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"--mem-fraction-static",
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0.7,
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"--speculative-algorithm",
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"EAGLE3",
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"--speculative-draft-model-path",
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DEFAULT_MODEL_NAME_FOR_TEST_EAGLE3,
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"--speculative-num-steps",
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2,
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"--speculative-eagle-topk",
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1,
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"--speculative-num-draft-tokens",
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3,
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"--dtype",
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"float16",
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"--chunked-prefill-size",
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1024,
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],
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)
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@classmethod
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def tearDownClass(cls):
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kill_process_tree(cls.process.pid)
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def test_mmlu(self):
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args = SimpleNamespace(
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base_url=self.base_url,
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model=self.model,
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eval_name="mmlu",
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num_examples=64,
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num_threads=32,
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)
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metrics = run_eval(args)
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self.assertGreaterEqual(metrics["score"], 0.72)
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server_info = requests.get(self.base_url + "/get_server_info")
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print(f"{server_info=}")
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avg_spec_accept_length = server_info.json()["internal_states"][0][
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"avg_spec_accept_length"
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]
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print(f"{avg_spec_accept_length=}")
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self.assertGreater(avg_spec_accept_length, 2.26)
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if __name__ == "__main__":
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unittest.main()
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