Add ut for w8a8 int8 quantization (#2897)

test/srt/run_suite.py

@@ -47,6 +47,7 @@ suites = {
         "test_update_weights_from_tensor.py",
         "test_vision_chunked_prefill.py",
         "test_vision_openai_server.py",
+        "test_w8a8_quantization.py",
         "test_session_control.py",
     ],
     "nightly": [

test/srt/test_w8a8_quantization.py

@@ -0,0 +1,74 @@
+import time
+import unittest
+from types import SimpleNamespace
+
+import requests
+
+from sglang.srt.utils import kill_process_tree
+from sglang.test.few_shot_gsm8k import run_eval
+from sglang.test.test_utils import (
+    DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
+    DEFAULT_URL_FOR_TEST,
+    popen_launch_server,
+)
+
+
+class TestW8A8(unittest.TestCase):
+    @classmethod
+    def setUpClass(cls):
+        cls.model = "neuralmagic/Meta-Llama-3-8B-Instruct-quantized.w8a8"
+        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", "w8a8_int8"],
+        )
+
+    @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(metrics)
+
+        self.assertGreater(metrics["accuracy"], 0.7)
+
+    def run_decode(self, max_new_tokens):
+        response = requests.post(
+            self.base_url + "/generate",
+            json={
+                "text": "The capital of France is",
+                "sampling_params": {
+                    "temperature": 0,
+                    "max_new_tokens": max_new_tokens,
+                },
+                "ignore_eos": True,
+            },
+        )
+        return response.json()
+
+    def test_throughput(self):
+        max_tokens = 256
+
+        tic = time.time()
+        res = self.run_decode(max_tokens)
+        tok = time.time()
+        print(res["text"])
+        throughput = max_tokens / (tok - tic)
+        print(f"Throughput: {throughput} tokens/s")
+        assert throughput >= 140
+
+
+if __name__ == "__main__":
+    unittest.main()