Co-authored-by: Lianmin Zheng <15100009+merrymercy@users.noreply.github.com> Co-authored-by: Hanming Lu <69857889+hanming-lu@users.noreply.github.com>
126 lines
3.5 KiB
Python
126 lines
3.5 KiB
Python
import unittest
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from types import SimpleNamespace
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from sglang.srt.utils import kill_process_tree
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from sglang.test.few_shot_gsm8k import run_eval
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from sglang.test.test_utils import (
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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 TestEagleBS1(CustomTestCase):
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num_questions = 60
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@classmethod
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def setUpClass(cls):
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cls.model = "meta-llama/Llama-2-7b-chat-hf"
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cls.base_url = DEFAULT_URL_FOR_TEST
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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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"--trust-remote-code",
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"--attention-backend",
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"triton",
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"--enable-beta-spec",
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"--speculative-algorithm",
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"EAGLE",
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"--speculative-draft-model",
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"lmzheng/sglang-EAGLE-llama2-chat-7B",
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"--speculative-num-steps",
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"5",
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"--speculative-eagle-topk",
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"1",
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"--speculative-num-draft-tokens",
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"6",
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"--max-running-requests",
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"1",
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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_gsm8k(self):
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args = SimpleNamespace(
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num_shots=5,
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data_path=None,
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num_questions=self.num_questions,
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max_new_tokens=512,
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parallel=128,
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host="http://127.0.0.1",
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port=int(self.base_url.split(":")[-1]),
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)
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metrics = run_eval(args)
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print(f"TestEagleBS1 -- {metrics=}")
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self.assertGreater(
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metrics["accuracy"], 0.33
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) # 0.3333 for 60 questions; 0.234 for 1319 questions
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class TestEagleLargeBS(CustomTestCase):
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num_questions = 10000
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max_running_requests = 64
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other_args = [
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"--trust-remote-code",
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"--attention-backend",
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"triton",
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"--enable-beta-spec",
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"--speculative-algorithm",
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"EAGLE",
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"--speculative-draft-model",
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"lmzheng/sglang-EAGLE-llama2-chat-7B",
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"--speculative-num-steps",
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"5",
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"--speculative-eagle-topk",
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"1",
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"--speculative-num-draft-tokens",
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"6",
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"--mem-fraction-static",
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"0.75",
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"--max-running-requests",
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str(max_running_requests),
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"--cuda-graph-bs",
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*[str(i) for i in range(1, max_running_requests + 1)],
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]
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@classmethod
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def setUpClass(cls):
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cls.model = "meta-llama/Llama-2-7b-chat-hf"
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cls.base_url = DEFAULT_URL_FOR_TEST
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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=cls.other_args,
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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_gsm8k(self):
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args = SimpleNamespace(
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num_shots=5,
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data_path=None,
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num_questions=self.num_questions,
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max_new_tokens=512,
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parallel=128,
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host="http://127.0.0.1",
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port=int(self.base_url.split(":")[-1]),
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)
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metrics = run_eval(args)
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print(f"TestEagleLargeBS -- {metrics=}")
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self.assertGreater(
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metrics["accuracy"], 0.23
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) # 0.3333 for 60 questions; 0.234 for 1319 questions
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if __name__ == "__main__":
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unittest.main()
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