[Qwen3.5] Support Qwen3.5 Pipeline Parallelism (#19670)
Co-authored-by: luoyuan.luo <luoyuan.luo@antgroup.com>
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@@ -350,6 +350,60 @@ class TestQwenMoePPAccuracy(unittest.TestCase):
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)
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class TestQwen35PPAccuracy(unittest.TestCase):
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@classmethod
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def setUpClass(cls):
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cls.base_url = "http://127.0.0.1:23337" # different ports to avoid conflicts
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cls.model_name = (
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"Qwen/Qwen3.5-35B-A3B" # replace with your Qwen Model if needed
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)
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def run_gsm8k_test(self, pp_size):
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process = popen_launch_server(
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self.model_name,
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self.base_url,
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timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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other_args=[
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"--pp-size",
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pp_size,
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"--chunked-prefill-size",
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256,
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],
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)
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try:
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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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time.sleep(5)
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return metrics
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finally:
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kill_process_tree(process.pid)
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def test_pp_consistency(self):
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baseline = self.run_gsm8k_test(pp_size=1)
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pp_metrics = self.run_gsm8k_test(pp_size=2)
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print(f"[Qwen35 PP Comparison] Baseline: {baseline} | PP: {pp_metrics}")
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self.assertGreaterEqual(baseline["accuracy"], 0.83)
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self.assertGreaterEqual(
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pp_metrics["accuracy"],
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baseline["accuracy"] - 0.02,
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msg=(
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f"PP accuracy dropped more than 1% compared to baseline. "
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f"Baseline: {baseline['accuracy']:.2%}, PP: {pp_metrics['accuracy']:.2%}"
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),
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)
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class TestFixedBugs(unittest.TestCase):
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def test_chunked_prefill_with_small_bs(self):
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model = DEFAULT_MODEL_NAME_FOR_TEST
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