Integrate pplx a2a backend (#30756)

Co-authored-by: Cheng Wan <54331508+ch-wan@users.noreply.github.com>
2026-07-30 15:33:19 -07:00
parent 3a53c26c27
commit a1c30701aa
16 changed files with 788 additions and 10 deletions
@@ -0,0 +1,145 @@
+import unittest
+from types import SimpleNamespace
+
+from sglang.srt.utils import kill_process_tree
+from sglang.test.run_eval import run_eval
+from sglang.test.test_utils import (
+    DEFAULT_MODEL_NAME_FOR_TEST_MLA,
+    DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
+    DEFAULT_URL_FOR_TEST,
+    CustomTestCase,
+    popen_launch_server,
+)
+
+# Manual test: pplx-kernels are not available in the CI environment, so this is
+# not CI-registered. Run locally on a 4x H100 node with pplx-kernels installed.
+
+
+class TestPureDP(CustomTestCase):
+    @classmethod
+    def setUpClass(cls):
+        cls.model = DEFAULT_MODEL_NAME_FOR_TEST_MLA
+        cls.base_url = DEFAULT_URL_FOR_TEST
+        cls.process = popen_launch_server(
+            cls.model,
+            cls.base_url,
+            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
+            other_args=[
+                "--trust-remote-code",
+                "--tp",
+                "4",
+                "--enable-dp-attention",
+                "--dp",
+                "4",
+                "--moe-a2a-backend",
+                "pplx",
+                "--deepep-mode",
+                "low_latency",
+                "--cuda-graph-max-bs-decode",
+                "128",
+                "--max-running-requests",
+                "512",
+                "--mem-fraction-static",
+                "0.5",
+            ],
+            # Per-rank dispatch cap must cover the per-rank prefill chunk
+            # (chunked_prefill_size // dp_size = 8192 // 4 = 2048 on H100).
+            env={"SGLANG_PPLX_NUM_MAX_DISPATCH_TOKENS_PER_RANK": "4096"},
+        )
+
+    @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(metrics)
+
+        self.assertGreater(metrics["score"], 0.60)
+
+    def test_gsm8k_single_stream(self):
+        # Regression guard for the post-experts all-reduce double-count: with
+        # num_threads=1 only one DP rank has a real request at a time, leaving
+        # the others idle. If pplx does not skip the post-experts all-reduce,
+        # those idle ranks' outputs corrupt the answer and the score collapses
+        # (~0). Keep this serial + low example count so it stays cheap.
+        args = SimpleNamespace(
+            base_url=self.base_url,
+            model=self.model,
+            eval_name="gsm8k",
+            api="completion",
+            max_tokens=512,
+            num_examples=40,
+            num_threads=1,
+        )
+        metrics = run_eval(args)
+        print(metrics)
+
+        self.assertGreater(metrics["score"], 0.50)
+
+
+class TestHybridDPTP(CustomTestCase):
+    @classmethod
+    def setUpClass(cls):
+        cls.model = DEFAULT_MODEL_NAME_FOR_TEST_MLA
+        cls.base_url = DEFAULT_URL_FOR_TEST
+        cls.process = popen_launch_server(
+            cls.model,
+            cls.base_url,
+            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
+            other_args=[
+                "--trust-remote-code",
+                "--tp",
+                "4",
+                "--enable-dp-attention",
+                "--dp",
+                "2",
+                "--moe-a2a-backend",
+                "pplx",
+                "--deepep-mode",
+                "low_latency",
+                "--cuda-graph-max-bs-decode",
+                "128",
+                "--max-running-requests",
+                "256",
+                "--mem-fraction-static",
+                "0.5",
+            ],
+            # Per-rank dispatch cap must cover the per-rank prefill chunk
+            # (chunked_prefill_size // dp_size = 8192 // 2 = 4096 on H100).
+            env={"SGLANG_PPLX_NUM_MAX_DISPATCH_TOKENS_PER_RANK": "4096"},
+        )
+
+    @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(metrics)
+
+        self.assertGreater(metrics["score"], 0.60)
+
+
+if __name__ == "__main__":
+    unittest.main()