[Qwen3-next] Add PD disaggregation support for mamba with extra_buffer (#15180)
Signed-off-by: Shangming Cai <csmthu@gmail.com> Co-authored-by: ybyang <10629930+whybeyoung@users.noreply.github.com>
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@@ -157,7 +157,7 @@ suites = {
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"per-commit-8-gpu-h200": [
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TestFile("test_deepseek_v3_basic.py", 275),
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TestFile("test_deepseek_v3_mtp.py", 275),
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TestFile("test_disaggregation_hybrid_attention.py", 200),
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TestFile("test_disaggregation_hybrid_attention.py", 600),
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TestFile("models/test_kimi_k2_models.py", 200),
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TestFile("test_deepseek_v32_basic.py", 275),
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TestFile("test_deepseek_v32_mtp.py", 275),
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@@ -79,5 +79,77 @@ class TestDisaggregationHybridAttentionMamba(PDDisaggregationServerBase):
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self.assertGreater(metrics["accuracy"], 0.93)
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class TestDisaggregationHybridAttentionMambaExtraBuffer(PDDisaggregationServerBase):
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@classmethod
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def setUpClass(cls):
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super().setUpClass()
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cls.model = "Qwen/Qwen3-Next-80B-A3B-Instruct"
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# Non blocking start servers
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cls.start_prefill()
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cls.start_decode()
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# Block until both
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cls.wait_server_ready(cls.prefill_url + "/health")
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cls.wait_server_ready(cls.decode_url + "/health")
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cls.launch_lb()
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@classmethod
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def start_prefill(cls):
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prefill_args = [
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"--trust-remote-code",
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"--disaggregation-mode",
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"prefill",
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"--tp",
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"4",
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"--mamba-scheduler-strategy",
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"extra_buffer",
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]
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prefill_args += cls.transfer_backend + cls.rdma_devices
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cls.process_prefill = popen_launch_pd_server(
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cls.model,
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cls.prefill_url,
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timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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other_args=prefill_args,
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)
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@classmethod
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def start_decode(cls):
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decode_args = [
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"--trust-remote-code",
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"--disaggregation-mode",
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"decode",
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"--tp",
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"4",
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"--base-gpu-id",
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"4",
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"--mamba-scheduler-strategy",
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"extra_buffer",
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]
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decode_args += cls.transfer_backend + cls.rdma_devices
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cls.process_decode = popen_launch_pd_server(
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cls.model,
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cls.decode_url,
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timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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other_args=decode_args,
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)
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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=200,
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max_new_tokens=512,
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parallel=128,
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host=f"http://{self.base_host}",
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port=int(self.lb_port),
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)
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metrics = run_eval_few_shot_gsm8k(args)
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print(f"Evaluation metrics: {metrics}")
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self.assertGreater(metrics["accuracy"], 0.93)
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if __name__ == "__main__":
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unittest.main()
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