94 lines
2.5 KiB
Python
94 lines
2.5 KiB
Python
"""Test FlashInfer Cutlass BF16 MoE + FlashInfer alltoall on B200 with DP attention.
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Config: Qwen3-30B-A3B, B200x4, EP=4 DP=4, flashinfer cutlass + flashinfer a2a.
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"""
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import os
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import unittest
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from types import SimpleNamespace
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import torch
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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_TIMEOUT_FOR_SERVER_LAUNCH,
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DEFAULT_URL_FOR_TEST,
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CustomTestCase,
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popen_launch_server,
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)
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register_cuda_ci(
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est_time=600,
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stage="extra-b",
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runner_config="4-gpu-b200",
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disabled="Waived until sgl-kernel fix is released",
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)
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MODEL = os.environ.get("QWEN3_30B_A3B_MODEL_PATH", "Qwen/Qwen3-30B-A3B")
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SKIP_TEST = torch.cuda.get_device_capability() < (10, 0)
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SKIP_REASON = "Requires Blackwell (B200, sm_100a) or above."
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@unittest.skipIf(SKIP_TEST, SKIP_REASON)
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class TestFlashinferCutlassFlashinferA2A(CustomTestCase):
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"""FlashInfer Cutlass BF16 MoE + FlashInfer one-sided alltoall + DP4 EP4 on B200."""
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@classmethod
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def setUpClass(cls):
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cls.model = MODEL
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cls.base_url = DEFAULT_URL_FOR_TEST
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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 * 3,
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other_args=[
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"--trust-remote-code",
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"--tp",
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"4",
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"--ep-size",
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"4",
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"--dp",
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"4",
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"--enable-dp-attention",
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"--enable-dp-lm-head",
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"--moe-runner-backend",
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"flashinfer_cutlass",
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"--moe-a2a-backend",
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"flashinfer",
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"--max-prefill-tokens",
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"4096",
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"--disable-radix-cache",
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"--disable-flashinfer-autotune",
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"--watchdog-timeout",
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"900",
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],
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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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base_url=self.base_url,
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eval_name="gsm8k",
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num_examples=1319,
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max_tokens=10240,
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repeat=1,
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num_threads=1319,
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num_shots=8,
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temperature=0.6,
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top_p=0.95,
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top_k=20,
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)
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metrics = run_eval(args)
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print(metrics)
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self.assertGreater(metrics["score"], 0.90)
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if __name__ == "__main__":
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unittest.main()
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