feat: Add FP8 KV cache support for Triton attention backend (#18882)

2026-03-02 23:38:34 -08:00
parent 62480ebb1b
commit 07b8d763ef
6 changed files with 180 additions and 27 deletions
@@ -0,0 +1,58 @@
+import unittest
+from types import SimpleNamespace
+from urllib.parse import urlparse
+
+from sglang.srt.utils import kill_process_tree
+from sglang.test.ci.ci_register import register_cuda_ci
+from sglang.test.few_shot_gsm8k import run_eval
+from sglang.test.test_utils import (
+    DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
+    DEFAULT_URL_FOR_TEST,
+    CustomTestCase,
+    popen_launch_server,
+)
+
+register_cuda_ci(est_time=520, suite="stage-b-test-large-1-gpu")
+
+
+class TestFP8KVCacheTritonBackend(CustomTestCase):
+    @classmethod
+    def setUpClass(cls):
+        cls.model = "neuralmagic/Meta-Llama-3-8B-Instruct-FP8-KV"
+        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=[
+                "--quantization",
+                "fp8",
+                "--kv-cache-dtype",
+                "fp8_e4m3",
+                "--attention-backend",
+                "triton",
+            ],
+        )
+
+    @classmethod
+    def tearDownClass(cls):
+        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=200,
+            max_new_tokens=512,
+            parallel=200,
+            host=f"{parsed_url.scheme}://{parsed_url.hostname}",
+            port=parsed_url.port,
+        )
+        metrics = run_eval(args)
+        print(f"{metrics=}")
+        self.assertGreater(metrics["accuracy"], 0.70)
+
+
+if __name__ == "__main__":
+    unittest.main()