[NPU] ascend backend support qwen3 moe attention cp (#21685)

2026-04-29 19:25:17 +08:00
parent ae0c036c24
commit 4c1eefca4f
3 changed files with 331 additions and 8 deletions
@@ -0,0 +1,95 @@
+import os
+import unittest
+from types import SimpleNamespace
+
+from python.sglang.test.ascend.test_ascend_utils import QWEN3_30B_A3B_WEIGHTS_PATH
+from sglang.test.ci.ci_register import register_npu_ci
+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,
+    CustomTestCase,
+    kill_process_tree,
+    popen_launch_server,
+)
+
+register_npu_ci(est_time=500, suite="nightly-4-npu-a3", nightly=True)
+
+QWEN3_30B_MODEL = QWEN3_30B_A3B_WEIGHTS_PATH
+GSM8K_MIN_ACCURACY = 0.92
+GSM8K_NUM_QUESTIONS = 100
+
+_NPU_ENV_VARS = {
+    "ASCEND_USE_FIA": "1",
+}
+
+
+class TestQwen330BAttnCP(CustomTestCase):
+    """GSM8K accuracy test for Qwen3-30B-A3B mixed deployment on 4 NPUs.
+
+    The test uses:
+    - TP = 4
+    - MOE_DP = 2
+    - ATTN_CP = 2
+    - prefill context parallel enabled
+
+    This is the mixed/co-located deployment variant and reuses the Ascend
+    environment variables from the PD GSM8K test.
+    """
+
+    @classmethod
+    def setUpClass(cls):
+        cls.model = QWEN3_30B_MODEL
+        cls.base_url = DEFAULT_URL_FOR_TEST
+        cls.npu_env = {**os.environ, **_NPU_ENV_VARS}
+        cls.process = popen_launch_server(
+            cls.model,
+            cls.base_url,
+            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
+            other_args=[
+                "--trust-remote-code",
+                "--mem-fraction-static",
+                "0.7",
+                "--max-running-requests",
+                "32",
+                "--attention-backend",
+                "ascend",
+                "--tp-size",
+                "4",
+                "--moe-dp-size",
+                "2",
+                "--attn-cp-size",
+                "2",
+                "--cuda-graph-max-bs",
+                "32",
+                "--enable-prefill-context-parallel",
+            ],
+            env=cls.npu_env,
+        )
+
+    @classmethod
+    def tearDownClass(cls):
+        if hasattr(cls, "process") and cls.process is not None:
+            kill_process_tree(cls.process.pid)
+
+    def test_gsm8k_accuracy(self):
+        args = SimpleNamespace(
+            num_shots=5,
+            data_path=None,
+            num_questions=GSM8K_NUM_QUESTIONS,
+            max_new_tokens=512,
+            parallel=32,
+            host="http://127.0.0.1",
+            port=int(self.base_url.split(":")[-1]),
+        )
+        metrics = run_eval_few_shot_gsm8k(args)
+        print(
+            "GSM8K accuracy "
+            f"(mixed TP=4 MOE_DP=2 ATTN_CP=2, {GSM8K_NUM_QUESTIONS} samples): "
+            f"{metrics['accuracy']:.3f}"
+        )
+        self.assertGreaterEqual(metrics["accuracy"], GSM8K_MIN_ACCURACY)
+
+
+if __name__ == "__main__":
+    unittest.main()