123 lines
3.5 KiB
Python
123 lines
3.5 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.utils import kill_process_tree
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from sglang.test.few_shot_gsm8k import run_eval as run_eval_few_shot_gsm8k
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from sglang.test.test_utils import (
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DEFAULT_DEEPSEEK_W4AFP8_MODEL_FOR_TEST,
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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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is_in_amd_ci,
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is_in_ci,
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popen_launch_server,
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try_cached_model,
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write_github_step_summary,
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)
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class TestDeepseekV3W4afp8(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = try_cached_model(DEFAULT_DEEPSEEK_W4AFP8_MODEL_FOR_TEST)
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cls.base_url = DEFAULT_URL_FOR_TEST
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other_args = ["--trust-remote-code", "--tp", "8", "--ep-size", "8"]
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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=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=1200,
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parallel=1200,
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max_new_tokens=512,
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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_few_shot_gsm8k(args)
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print(f"Eval accuracy of GSM8K: {metrics=}")
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self.assertGreater(metrics["accuracy"], 0.92)
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class TestDeepseekV3W4Afp8Mtp(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = try_cached_model(DEFAULT_DEEPSEEK_W4AFP8_MODEL_FOR_TEST)
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cls.base_url = DEFAULT_URL_FOR_TEST
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other_args = [
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"--tp",
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"8",
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"--trust-remote-code",
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"--ep-size",
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"8",
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"--cuda-graph-bs",
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"256",
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"--disable-radix-cache",
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"--speculative-algorithm",
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"EAGLE",
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"--speculative-num-steps",
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"3",
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"--speculative-eagle-topk",
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"2",
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"--speculative-num-draft-tokens",
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"4",
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]
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if not is_in_amd_ci():
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other_args += ["--mem-frac", "0.7"]
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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=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(
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self,
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):
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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=200,
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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_few_shot_gsm8k(args)
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print(f"{metrics=}")
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server_info = requests.get(self.base_url + "/get_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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if is_in_ci():
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write_github_step_summary(
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f"### test_gsm8k (deepseek-v3 mtp)\n"
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f'{metrics["accuracy"]=:.3f}\n'
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f"{avg_spec_accept_length=:.2f}\n"
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)
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self.assertGreater(metrics["accuracy"], 0.935)
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self.assertGreater(avg_spec_accept_length, 2.9)
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if __name__ == "__main__":
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unittest.main()
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