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92 行
2.5 KiB
Python
92 行
2.5 KiB
Python
import unittest
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from types import SimpleNamespace
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import requests
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from sglang.srt.environ import envs
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from sglang.srt.utils import kill_process_tree
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from sglang.test.ci.ci_register import register_cuda_ci
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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_URL_FOR_TEST,
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CustomTestCase,
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is_in_ci,
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popen_launch_server,
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write_github_step_summary,
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)
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register_cuda_ci(est_time=300, stage="base-b", runner_config="2-gpu-large")
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QWEN35_MODEL = "Qwen/Qwen3.5-9B"
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SERVER_LAUNCH_TIMEOUT = 600
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class TestQwen35EagleRS(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = QWEN35_MODEL
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cls.base_url = DEFAULT_URL_FOR_TEST
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other_args = [
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"--trust-remote-code",
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"--tp",
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"2",
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"--speculative-algorithm",
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"NEXTN",
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"--speculative-num-steps",
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"3",
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"--speculative-eagle-topk",
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"1",
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"--speculative-num-draft-tokens",
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"4",
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"--speculative-use-rejection-sampling",
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"--mem-fraction-static",
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"0.8",
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"--disable-radix-cache",
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]
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with envs.SGLANG_ENABLE_ASYNC_ASSERT.override(True):
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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=SERVER_LAUNCH_TIMEOUT,
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other_args=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_a_gsm8k(self):
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requests.get(self.base_url + "/flush_cache")
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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="gsm8k",
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api="completion",
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max_tokens=512,
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num_examples=200,
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num_threads=128,
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)
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metrics = run_eval(args)
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print(f"{metrics=}")
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server_info = requests.get(self.base_url + "/server_info").json()
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avg_spec_accept_length = server_info["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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if is_in_ci():
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write_github_step_summary(
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f"### test_gsm8k (qwen3.5-9b nextn rs)\n"
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f'{metrics["score"]=:.3f}\n'
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f"{avg_spec_accept_length=:.2f}\n"
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)
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self.assertGreater(metrics["score"], 0.8)
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self.assertGreater(avg_spec_accept_length, 2.5)
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if __name__ == "__main__":
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unittest.main()
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