Add unit test on page_size > 1 and mla and integration test for Flash Attention 3

test/srt/test_flash_attention3.py

@@ -0,0 +1,113 @@
+import unittest
+from types import SimpleNamespace
+
+import requests
+import torch
+
+from sglang.srt.utils import kill_process_tree
+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,
+)
+
+"""
+Integration test for python/sglang/srt/layers/attention/flashattention_backend.py
+"""
+# Change to your own model if testing model is not public.
+MODEL_USED_FOR_TEST = "lmsys/sglang-ci-dsv3-test"
+# Setting data path to None uses default data path in few_shot_gsm8k eval test.
+DATA_PATH = None
+
+
+class TestFlashAttention3(unittest.TestCase):
+
+    @classmethod
+    def setUpClass(cls):
+        cls.model = MODEL_USED_FOR_TEST
+        cls.base_url = DEFAULT_URL_FOR_TEST
+        other_args = ["--trust-remote-code"]
+        if torch.cuda.is_available() and torch.version.cuda:
+            other_args.extend(
+                [
+                    "--enable-torch-compile",
+                    "--cuda-graph-max-bs",
+                    "2",
+                    "--attention-backend",
+                    "fa3",
+                ]
+            )
+        cls.process = popen_launch_server(
+            cls.model,
+            cls.base_url,
+            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
+            other_args=other_args,
+        )
+
+    def test_gsm8k(self):
+        args = SimpleNamespace(
+            num_shots=5,
+            num_questions=200,
+            max_new_tokens=512,
+            parallel=128,
+            host="http://127.0.0.1",
+            port=int(self.base_url.split(":")[-1]),
+            data_path=DATA_PATH,
+        )
+        metrics = run_eval_few_shot_gsm8k(args)
+        print(metrics)
+
+        self.assertGreater(metrics["accuracy"], 0.62)
+
+    @classmethod
+    def tearDownClass(cls):
+        kill_process_tree(cls.process.pid)
+
+
+class TestFlashAttention3DisableCudaGraph(unittest.TestCase):
+    @classmethod
+    def setUpClass(cls):
+        cls.model = MODEL_USED_FOR_TEST
+        cls.base_url = DEFAULT_URL_FOR_TEST
+        other_args = ["--trust-remote-code"]
+        if torch.cuda.is_available() and torch.version.cuda:
+            other_args.extend(
+                [
+                    "--enable-torch-compile",
+                    "--disable-cuda-graph",
+                    "--cuda-graph-max-bs",
+                    "4",
+                    "--attention-backend",
+                    "fa3",
+                ]
+            )
+        cls.process = popen_launch_server(
+            cls.model,
+            cls.base_url,
+            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
+            other_args=other_args,
+        )
+
+    @classmethod
+    def tearDownClass(cls):
+        kill_process_tree(cls.process.pid)
+
+    def test_gsm8k(self):
+        args = SimpleNamespace(
+            num_shots=5,
+            num_questions=200,
+            max_new_tokens=512,
+            parallel=128,
+            host="http://127.0.0.1",
+            port=int(self.base_url.split(":")[-1]),
+            data_path=DATA_PATH,
+        )
+        metrics = run_eval_few_shot_gsm8k(args)
+        print(metrics)
+
+        self.assertGreater(metrics["accuracy"], 0.62)
+
+
+if __name__ == "__main__":
+    unittest.main()