Multiple refactors of DeepSeek V32 and context parallel (#16305)
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@@ -16,7 +16,7 @@ from sglang.test.test_utils import (
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DEEPSEEK_V32_MODEL_PATH = "deepseek-ai/DeepSeek-V3.2-Exp"
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class TestDeepseekV32Basic(CustomTestCase):
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class TestDeepseekV32DP(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = DEEPSEEK_V32_MODEL_PATH
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@@ -74,5 +74,60 @@ class TestDeepseekV32Basic(CustomTestCase):
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self.assertGreater(speed, 50)
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class TestDeepseekV32TP(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = DEEPSEEK_V32_MODEL_PATH
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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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"8",
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]
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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_a_gsm8k(
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self,
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): # Append an "a" to make this test run first (alphabetically) to warm up the server
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args = SimpleNamespace(
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num_shots=20,
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data_path=None,
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num_questions=1400,
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parallel=1400,
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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"{metrics=}")
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if is_in_ci():
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write_github_step_summary(
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f"### test_gsm8k (deepseek-v32)\n" f'{metrics["accuracy"]=:.3f}\n'
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)
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self.assertGreater(metrics["accuracy"], 0.935)
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def test_bs_1_speed(self):
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args = BenchArgs(port=int(self.base_url.split(":")[-1]), max_new_tokens=2048)
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acc_length, speed = send_one_prompt(args)
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print(f"{speed=:.2f}")
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if is_in_ci():
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write_github_step_summary(
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f"### test_bs_1_speed (deepseek-v32)\n" f"{speed=:.2f} token/s\n"
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)
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self.assertGreater(speed, 70)
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if __name__ == "__main__":
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unittest.main()
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