chore: import upstream snapshot with attribution

python/sglang/test/chunked_prefill_test_utils.py

@@ -0,0 +1,129 @@
+from __future__ import annotations
+
+import time
+from types import SimpleNamespace
+from typing import ClassVar, List, Optional
+
+from sglang.srt.utils import kill_process_tree
+from sglang.test.run_eval import run_eval
+from sglang.test.server_fixtures.disaggregation_fixture import (
+    PDDisaggregationServerBase,
+)
+from sglang.test.test_utils import (
+    DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
+    DEFAULT_URL_FOR_TEST,
+    CustomTestCase,
+    popen_launch_server,
+    try_cached_model,
+)
+
+DEFAULT_MODEL: str = "Qwen/Qwen3-0.6B"
+
+DEFAULT_CHUNKED_PREFILL_SIZE: int = 256
+DEFAULT_NUM_EXAMPLES: int = 100
+DEFAULT_NUM_SHOTS: int = 10
+LONG_PROMPT_NUM_SHOTS: int = 24
+DEFAULT_NUM_THREADS: int = 128
+DEFAULT_MAX_TOKENS: int = 512
+DEFAULT_SEED: int = 42
+
+KV_CANARY_ARGS: List[str] = [
+    "--kv-canary",
+    "raise",
+    "--kv-canary-real-data",
+    "partial",
+    "--kv-canary-sweep-interval",
+    "100",
+    "--disable-piecewise-cuda-graph",
+]
+
+
+class ChunkedGsm8kMixin:
+    __test__ = False
+    use_kv_canary: ClassVar[bool] = True
+    model: ClassVar[str] = DEFAULT_MODEL
+    feature_args: ClassVar[List[str]] = []
+
+    chunked_prefill_size: ClassVar[int] = DEFAULT_CHUNKED_PREFILL_SIZE
+    num_shots: ClassVar[int] = DEFAULT_NUM_SHOTS
+    num_examples: ClassVar[int] = DEFAULT_NUM_EXAMPLES
+    num_threads: ClassVar[int] = DEFAULT_NUM_THREADS
+    max_tokens: ClassVar[int] = DEFAULT_MAX_TOKENS
+    gsm8k_threshold: ClassVar[float]
+
+    def build_prefill_side_args(self) -> List[str]:
+        canary = list(KV_CANARY_ARGS) if self.use_kv_canary else []
+        return (
+            ["--chunked-prefill-size", str(self.chunked_prefill_size)]
+            + list(self.feature_args)
+            + canary
+        )
+
+    def test_mixed_prefix_gsm8k_chunked(self):
+        fixture_name = type(self).__name__
+
+        args = SimpleNamespace(
+            base_url=self.base_url,
+            model=self.model,
+            eval_name="mixed_prefix_gsm8k",
+            api="chat_completion",
+            max_tokens=self.max_tokens,
+            num_examples=self.num_examples,
+            num_threads=self.num_threads,
+            num_shots=self.num_shots,
+            mixed_prefix_gsm8k_secondary_pool_size=15,
+            mixed_prefix_gsm8k_seed=DEFAULT_SEED,
+            gsm8k_data_path=None,
+            temperature=0.0,
+        )
+        tic = time.perf_counter()
+        metrics = run_eval(args)
+        metrics["elapsed_sec"] = time.perf_counter() - tic
+        print(f"[{fixture_name}] {metrics} threshold={self.gsm8k_threshold:.4f}")
+
+        score = metrics.get("score")
+        self.assertIsNotNone(score, "run_eval returned no score")
+        self.assertGreaterEqual(score, self.gsm8k_threshold)
+
+
+class ChunkedTestBase(ChunkedGsm8kMixin, CustomTestCase):
+    __test__ = False
+
+    base_url: ClassVar[str] = DEFAULT_URL_FOR_TEST
+    launch_timeout: ClassVar[int] = DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH
+
+    process: ClassVar[Optional[object]] = None
+
+    @classmethod
+    def setUpClass(cls):
+        cls.process = popen_launch_server(
+            cls.model,
+            cls.base_url,
+            timeout=cls.launch_timeout,
+            other_args=cls("test_mixed_prefix_gsm8k_chunked").build_prefill_side_args(),
+        )
+
+    @classmethod
+    def tearDownClass(cls):
+        if cls.process is not None:
+            kill_process_tree(cls.process.pid)
+
+
+class ChunkedTestPDBase(ChunkedGsm8kMixin, PDDisaggregationServerBase):
+    __test__ = False
+    decode_feature_args: ClassVar[List[str]] = []
+
+    @classmethod
+    def setUpClass(cls):
+        cls.extra_prefill_args = cls(
+            "test_mixed_prefix_gsm8k_chunked"
+        ).build_prefill_side_args()
+        canary = list(KV_CANARY_ARGS) if cls.use_kv_canary else []
+        cls.extra_decode_args = canary + list(cls.decode_feature_args)
+        PDDisaggregationServerBase.setUpClass()
+        cls.model = try_cached_model(cls.model)
+        cls.launch_all()
+
+    @classmethod
+    def tearDownClass(cls):
+        PDDisaggregationServerBase.tearDownClass()