[Feature] Support DeepEP normal & Redundant Experts on NPU (#9881)

test/srt/ascend/test_ascend_deepep.py

@@ -0,0 +1,121 @@
+import os
+import unittest
+from types import SimpleNamespace
+from urllib.parse import urlparse
+
+from sglang.srt.utils import kill_process_tree
+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,
+    is_in_ci,
+    popen_launch_server,
+    run_bench_offline_throughput,
+)
+
+TEST_MODEL_MATRIX = {
+    "/root/.cache/modelscope/hub/models/vllm-ascend/DeepSeek-R1-0528-W8A8": {
+        "accuracy": 0.95,
+        "latency": 1000,
+        "output_throughput": 6,
+    },
+}
+
+
+class TestAscendDeepEP(CustomTestCase):
+
+    @classmethod
+    def setUpClass(cls):
+        cls.models = TEST_MODEL_MATRIX.keys()
+        cls.base_url = DEFAULT_URL_FOR_TEST
+        cls.url = urlparse(DEFAULT_URL_FOR_TEST)
+
+        cls.common_args = [
+            "--trust-remote-code",
+            "--attention-backend",
+            "ascend",
+            "--quantization",
+            "w8a8_int8",
+            "--mem-fraction-static",
+            0.9,
+            "--max-running-requests",
+            32,
+            "--disable-radix-cache",
+            "--chunked-prefill-size",
+            32768,
+            "--disable-cuda-graph",
+            "--tp-size",
+            16,
+            "--dp-size",
+            1,
+            "--ep-size",
+            16,
+            "--moe-a2a-backend",
+            "deepep",
+            "--deepep-mode",
+            "auto",
+        ]
+
+        cls.extra_envs = {
+            "HCCL_BUFFSIZE": "500",
+            "SGLANG_DEEPEP_NUM_MAX_DISPATCH_TOKENS_PER_RANK": "32",
+        }
+        os.environ.update(cls.extra_envs)
+
+    def test_a_gsm8k(self):
+        for model in self.models:
+            with self.subTest(model=model):
+                print(f"##=== Testing accuracy: {model} ===##")
+
+                process = popen_launch_server(
+                    model,
+                    self.base_url,
+                    timeout=1500,
+                    other_args=[
+                        *self.common_args,
+                    ],
+                )
+
+                try:
+                    args = SimpleNamespace(
+                        num_shots=5,
+                        data_path=None,
+                        num_questions=1319,
+                        max_new_tokens=512,
+                        parallel=128,
+                        host=f"http://{self.url.hostname}",
+                        port=int(self.url.port),
+                    )
+
+                    metrics = run_eval_few_shot_gsm8k(args)
+                    self.assertGreaterEqual(
+                        metrics["accuracy"],
+                        TEST_MODEL_MATRIX[model]["accuracy"],
+                    )
+                finally:
+                    kill_process_tree(process.pid)
+
+    def test_b_throughput(self):
+        for model in self.models:
+            with self.subTest(model=model):
+                print(f"##=== Testing throughput: {model} ===##")
+
+                output_throughput = run_bench_offline_throughput(
+                    model,
+                    [
+                        *self.common_args,
+                    ],
+                )
+
+                print(f"##=== {model} throughput: {output_throughput} ===##")
+
+                if is_in_ci():
+                    self.assertGreater(
+                        output_throughput,
+                        TEST_MODEL_MATRIX[model]["output_throughput"],
+                    )
+
+
+if __name__ == "__main__":
+    unittest.main()

test/srt/run_suite.py

@@ -300,6 +300,9 @@ suite_ascend = {
         TestFile("ascend/test_ascend_mla_w8a8int8.py", 400),
         TestFile("ascend/test_ascend_tp4_bf16.py", 400),
     ],
+    "per-commit-16-ascend-a3": [
+        TestFile("ascend/test_ascend_deepep.py", 400),
+    ],
 }
 
 suites.update(suite_amd)