[NVIDIA] Support flashinfer a2a with flashinfer_trtllm_routed moe (#22394)

2026-06-29 16:23:58 -07:00
parent 6bdecb8206
commit b8c25bfaa7
5 changed files with 218 additions and 41 deletions
@@ -0,0 +1,125 @@
+import unittest
+from types import SimpleNamespace
+
+from sglang.srt.utils import kill_process_tree
+from sglang.test.ci.ci_register import register_cuda_ci
+from sglang.test.run_eval import run_eval
+from sglang.test.test_utils import (
+    DEFAULT_URL_FOR_TEST,
+    CustomTestCase,
+    popen_launch_server,
+)
+
+register_cuda_ci(est_time=500, stage="base-c", runner_config="4-gpu-gb300")
+
+DEEPSEEK_V3_FP4_MODEL = "nvidia/DeepSeek-V3-0324-FP4"
+QWEN3_FP8_MODEL = "Qwen/Qwen3-Next-80B-A3B-Instruct-FP8"
+SERVER_LAUNCH_TIMEOUT = 1000
+
+
+class TestFlashinferA2ATrtllmRoutedFP4(CustomTestCase):
+    """flashinfer A2A + flashinfer_trtllm_routed with modelopt_fp4 (DeepSeek V3)."""
+
+    @classmethod
+    def setUpClass(cls):
+        cls.model = DEEPSEEK_V3_FP4_MODEL
+        cls.base_url = DEFAULT_URL_FOR_TEST
+        cls.process = popen_launch_server(
+            cls.model,
+            cls.base_url,
+            timeout=SERVER_LAUNCH_TIMEOUT,
+            other_args=[
+                "--tp",
+                "4",
+                "--ep",
+                "4",
+                "--dp",
+                "4",
+                "--enable-dp-attention",
+                "--moe-a2a-backend",
+                "flashinfer",
+                "--moe-runner-backend",
+                "flashinfer_trtllm_routed",
+                "--quantization",
+                "modelopt_fp4",
+                "--disable-flashinfer-autotune",
+                "--model-loader-extra-config",
+                '{"enable_multithread_load": true}',
+            ],
+        )
+
+    @classmethod
+    def tearDownClass(cls):
+        if hasattr(cls, "process") and cls.process:
+            kill_process_tree(cls.process.pid)
+
+    def test_gsm8k(self):
+        args = SimpleNamespace(
+            base_url=self.base_url,
+            model=self.model,
+            eval_name="gsm8k",
+            api="completion",
+            max_tokens=512,
+            num_examples=200,
+            num_threads=128,
+        )
+        metrics = run_eval(args)
+        print(f"{metrics=}")
+        self.assertGreater(metrics["score"], 0.90)
+
+
+class TestFlashinferA2ATrtllmRoutedFP8(CustomTestCase):
+    """flashinfer A2A + flashinfer_trtllm_routed with fp8 (Qwen3-Next)."""
+
+    @classmethod
+    def setUpClass(cls):
+        cls.model = QWEN3_FP8_MODEL
+        cls.base_url = DEFAULT_URL_FOR_TEST
+        cls.process = popen_launch_server(
+            cls.model,
+            cls.base_url,
+            timeout=SERVER_LAUNCH_TIMEOUT,
+            other_args=[
+                "--tp",
+                "4",
+                "--ep",
+                "4",
+                "--dp",
+                "4",
+                "--enable-dp-attention",
+                "--moe-a2a-backend",
+                "flashinfer",
+                "--moe-runner-backend",
+                "flashinfer_trtllm_routed",
+                "--attention-backend",
+                "triton",
+                "--mem-fraction-static",
+                "0.7",
+                "--mamba-ssm-dtype",
+                "bfloat16",
+                "--disable-flashinfer-autotune",
+            ],
+        )
+
+    @classmethod
+    def tearDownClass(cls):
+        if hasattr(cls, "process") and cls.process:
+            kill_process_tree(cls.process.pid)
+
+    def test_gsm8k(self):
+        args = SimpleNamespace(
+            base_url=self.base_url,
+            model=self.model,
+            eval_name="gsm8k",
+            api="completion",
+            max_tokens=512,
+            num_examples=200,
+            num_threads=128,
+        )
+        metrics = run_eval(args)
+        print(f"{metrics=}")
+        self.assertGreater(metrics["score"], 0.93)
+
+
+if __name__ == "__main__":
+    unittest.main()