[PP] Add pipeline parallelism (#5724)

test/srt/test_pp_single_node.py

@@ -0,0 +1,143 @@
+"""
+Usage:
+python3 -m unittest test_pp_single_node.TestPPAccuracy.test_gsm8k
+python3 -m unittest test_pp_single_node.TestFixedBugs.test_chunked_prefill_with_small_bs
+"""
+
+import os
+import time
+import unittest
+from types import SimpleNamespace
+
+import requests
+
+from sglang.bench_one_batch_server import BenchArgs as OneBatchBenchArgs
+from sglang.srt.server_args import ServerArgs
+from sglang.srt.utils import kill_process_tree
+from sglang.test.few_shot_gsm8k import run_eval
+from sglang.test.runners import DEFAULT_PROMPTS
+from sglang.test.test_utils import (
+    DEFAULT_MODEL_NAME_FOR_TEST,
+    DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
+    DEFAULT_URL_FOR_TEST,
+    popen_launch_server,
+    run_bench_one_batch_server,
+)
+
+
+class TestPPAccuracy(unittest.TestCase):
+    @classmethod
+    def setUpClass(cls):
+        # These config helps find a leak.
+        os.environ["SGLANG_IS_IN_CI"] = "1"
+        cls.base_url = "http://127.0.0.1:23333"
+        cls.process = popen_launch_server(
+            DEFAULT_MODEL_NAME_FOR_TEST,
+            cls.base_url,
+            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
+            other_args=[
+                "--pp-size",
+                4,
+                "--disable-overlap-schedule",
+                "--chunked-prefill-size",
+                256,
+            ],
+        )
+
+    @classmethod
+    def tearDownClass(cls):
+        kill_process_tree(cls.process.pid)
+
+    def test_gsm8k(self):
+        args = SimpleNamespace(
+            num_shots=5,
+            data_path=None,
+            num_questions=200,
+            max_new_tokens=512,
+            parallel=128,
+            host="http://127.0.0.1",
+            port=int(self.base_url.split(":")[-1]),
+        )
+        metrics = run_eval(args)
+        print(f"{metrics=}")
+
+        self.assertGreater(metrics["accuracy"], 0.75)
+        # Wait a little bit so that the memory check happens.
+        time.sleep(5)
+
+
+# class TestPPAccuracyFlashInfer(unittest.TestCase):
+#     @classmethod
+#     def setUpClass(cls):
+#         # These config helps find a leak.
+#         os.environ["SGLANG_IS_IN_CI"] = "1"
+#         cls.base_url = "http://127.0.0.1:23333"
+#         cls.process = popen_launch_server(
+#             DEFAULT_MODEL_NAME_FOR_TEST,
+#             cls.base_url,
+#             timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
+#             other_args=[
+#                 "--pp-size",
+#                 4,
+#                 "--disable-overlap-schedule",
+#                 "--attention-backend",
+#                 "flashinfer",
+#                 "--chunked-prefill-size",
+#                 256,
+#             ],
+#         )
+#
+#     @classmethod
+#     def tearDownClass(cls):
+#         kill_process_tree(cls.process.pid)
+#
+#     def test_gsm8k(self):
+#         args = SimpleNamespace(
+#             num_shots=5,
+#             data_path=None,
+#             num_questions=200,
+#             max_new_tokens=512,
+#             parallel=128,
+#             host="http://127.0.0.1",
+#             port=int(self.base_url.split(":")[-1]),
+#         )
+#         metrics = run_eval(args)
+#         print(f"{metrics=}")
+#
+#         self.assertGreater(metrics["accuracy"], 0.75)
+#         # Wait a little bit so that the memory check happens.
+#         time.sleep(5)
+
+
+class TestFixedBugs(unittest.TestCase):
+    def test_chunked_prefill_with_small_bs(self):
+        model = DEFAULT_MODEL_NAME_FOR_TEST
+        server_args = ServerArgs(model_path=model)
+        bench_args = OneBatchBenchArgs(
+            batch_size=(1,),
+            input_len=(1,),
+            output_len=(1,),
+            base_url=DEFAULT_URL_FOR_TEST,
+        )
+        other_server_args = [
+            "--tp-size",
+            2,
+            "--pp-size",
+            2,
+            "--disable-overlap-schedule",
+            "--chunked-prefill",
+            256,
+            "--max-running-requests",
+            2,
+        ]
+        run_bench_one_batch_server(
+            model,
+            DEFAULT_URL_FOR_TEST,
+            server_args,
+            bench_args,
+            other_server_args,
+        )
+
+
+if __name__ == "__main__":
+    unittest.main()