[CI] Add Llama 3.1 8B Instruct FP4 CI test on SM120 (#20648)

2026-04-02 01:17:38 +00:00
parent 6dd2f774de
commit 83c3158014
1 changed files with 71 additions and 0 deletions
@@ -0,0 +1,71 @@
+import unittest
+from types import SimpleNamespace
+from urllib.parse import urlparse
+
+from sglang.srt.utils import get_device_sm, kill_process_tree
+from sglang.test.ci.ci_register import register_cuda_ci
+from sglang.test.few_shot_gsm8k import run_eval as run_eval_few_shot_gsm8k
+from sglang.test.test_utils import (
+    DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
+    DEFAULT_URL_FOR_TEST,
+    popen_launch_server,
+    try_cached_model,
+)
+
+register_cuda_ci(est_time=90, suite="stage-b-test-small-1-gpu")
+
+MODEL_PATH = "nvidia/Llama-3.1-8B-Instruct-NVFP4"
+
+
+class FP4GemmSM120Base:
+    backend = None
+
+    @classmethod
+    def setUpClass(cls):
+        if cls.backend is None:
+            raise NotImplementedError("Subclass must set 'backend' attribute")
+        cls.model = try_cached_model(MODEL_PATH)
+        cls.base_url = DEFAULT_URL_FOR_TEST
+        other_args = [
+            "--trust-remote-code",
+            "--quantization",
+            "modelopt_fp4",
+            "--fp4-gemm-backend",
+            cls.backend,
+            "--disable-piecewise-cuda-graph",
+        ]
+        cls.process = popen_launch_server(
+            cls.model,
+            cls.base_url,
+            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
+            other_args=other_args,
+        )
+
+    @classmethod
+    def tearDownClass(cls):
+        if hasattr(cls, "process"):
+            kill_process_tree(cls.process.pid)
+
+    def test_gsm8k(self):
+        parsed_url = urlparse(self.base_url)
+        args = SimpleNamespace(
+            num_shots=5,
+            data_path=None,
+            num_questions=1319,
+            max_new_tokens=512,
+            parallel=200,
+            host=parsed_url.hostname,
+            port=parsed_url.port,
+        )
+        metrics = run_eval_few_shot_gsm8k(args)
+        print(f"{metrics=}")
+        self.assertGreater(metrics["accuracy"], 0.64)
+
+
+@unittest.skipIf(get_device_sm() < 100, "Test requires CUDA SM 100 or higher")
+class TestFP4GemmSM120Auto(FP4GemmSM120Base, unittest.TestCase):
+    backend = "auto"
+
+
+if __name__ == "__main__":
+    unittest.main()