minor: add human eval (#1754)

.github/workflows/nightly-eval.yml

@@ -25,9 +25,10 @@ jobs:
       - name: Install dependencies
         run: |
           bash scripts/ci_install_dependency.sh
+          pip install --upgrade "evalplus[vllm] @ git+https://github.com/evalplus/evalplus"
 
-      - name: Nightly gsm8k Accuracy
-        timeout-minutes: 60
+      - name: Nightly gsm8k and human eval Accuracy
+        timeout-minutes: 120
         run: |
           cd test/srt
-          python3 test_nightly_gsm8k_eval.py
+          python3 test_nightly_human_eval.py

test/srt/test_nightly_human_eval.py

+import os
+import shutil
+import signal
+import subprocess
+import unittest
+from types import SimpleNamespace
+
+from test_nightly_gsm8k_eval import parse_models
+
+from sglang.srt.utils import kill_child_process
+from sglang.test.test_utils import (
+    DEFAULT_MODEL_NAME_FOR_NIGHTLY_EVAL_FP8_TP1,
+    DEFAULT_MODEL_NAME_FOR_NIGHTLY_EVAL_FP8_TP2,
+    DEFAULT_MODEL_NAME_FOR_NIGHTLY_EVAL_TP1,
+    DEFAULT_MODEL_NAME_FOR_NIGHTLY_EVAL_TP2,
+    DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
+    DEFAULT_URL_FOR_TEST,
+    popen_launch_server,
+)
+
+
+class TestEvalAccuracyLarge(unittest.TestCase):
+    @classmethod
+    def setUpClass(cls):
+        cls.model_groups = [
+            (parse_models(DEFAULT_MODEL_NAME_FOR_NIGHTLY_EVAL_TP1), False, False),
+            (parse_models(DEFAULT_MODEL_NAME_FOR_NIGHTLY_EVAL_TP2), False, True),
+            (parse_models(DEFAULT_MODEL_NAME_FOR_NIGHTLY_EVAL_FP8_TP1), True, False),
+            (parse_models(DEFAULT_MODEL_NAME_FOR_NIGHTLY_EVAL_FP8_TP2), True, True),
+        ]
+        cls.base_url = DEFAULT_URL_FOR_TEST
+        cls.process = None
+        cls.eval_process = None
+
+    @classmethod
+    def tearDownClass(cls):
+        if cls.process:
+            kill_child_process(cls.process.pid)
+        if cls.eval_process:
+            kill_child_process(cls.eval_process.pid)
+
+    def launch_server(self, model, is_fp8, is_tp2):
+        other_args = ["--log-level-http", "warning", "--trust-remote-code"]
+        if is_fp8:
+            if "Llama-3" in model or "gemma-2" in model:
+                # compressed-tensors
+                other_args.extend(["--kv-cache-dtype", "fp8_e5m2"])
+            elif "Qwen2-72B-Instruct-FP8" in model:
+                # bug
+                other_args.extend(["--quantization", "fp8"])
+            else:
+                other_args.extend(
+                    ["--quantization", "fp8", "--kv-cache-dtype", "fp8_e5m2"]
+                )
+        if is_tp2:
+            other_args.extend(["--tp", "2"])
+        if "DeepSeek" in model:
+            other_args.extend(["--mem-frac", "0.85"])
+        if "AWQ" in model:
+            other_args.extend(["--quantization", "awq"])
+        elif "GPTQ" in model:
+            other_args.extend(["--quantization", "gptq"])
+
+        self.process = popen_launch_server(
+            model,
+            self.base_url,
+            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
+            other_args=other_args,
+        )
+
+    def run_evalplus(self, model):
+        print("Delete evalplus results")
+        shutil.rmtree("evalplus_results", ignore_errors=True)
+        cmd = [
+            "evalplus.evaluate",
+            "--model",
+            model,
+            "--dataset",
+            "humaneval",
+            "--backend",
+            "openai",
+            "--base-url",
+            "http://localhost:6157/v1",
+            "--greedy",
+        ]
+
+        try:
+            self.eval_process = subprocess.Popen(
+                cmd,
+                stdout=subprocess.PIPE,
+                stderr=subprocess.PIPE,
+                text=True,
+                preexec_fn=os.setsid,
+            )
+
+            stdout, stderr = self.eval_process.communicate(timeout=600)
+
+            if self.eval_process.returncode != 0:
+                print(f"Fail to human eval model={model} err={stderr}")
+
+            print("=" * 42)
+            print(stdout)
+            print("=" * 42)
+        except subprocess.TimeoutExpired:
+            if self.eval_process:
+                os.killpg(os.getpgid(self.eval_process.pid), signal.SIGTERM)
+            print(f"Timeout during evaluation for model={model}")
+        except Exception as e:
+            print(f"Error running evalplus for model={model} {str(e)}")
+            if self.eval_process:
+                os.killpg(os.getpgid(self.eval_process.pid), signal.SIGTERM)
+
+    def test_human_eval_all_models(self):
+        for model_group, is_fp8, is_tp2 in self.model_groups:
+            for model in model_group:
+                # NOTE: only Llama for now
+                if "Llama" in model:
+                    with self.subTest(model=model):
+                        self.launch_server(model, is_fp8, is_tp2)
+                        self.run_evalplus(model)
+                        self.tearDownClass()
+
+
+if __name__ == "__main__":
+    unittest.main()