Ascend attention backend(PA&MLA) (#7722)

Co-authored-by: Maksim <makcum888e@mail.ru>
Co-authored-by: VDV1985 <vladdv85@mail.ru>

test/srt/run_suite.py

@@ -143,6 +143,9 @@ suites = {
         # TestFile("test_vision_chunked_prefill.py", 175), # Disabled temporarily and track in #7701
         TestFile("test_reasoning_parser.py", 5),
     ],
+    "per-commit-npu": [
+        TestFile("test_ascend_attention_backend.py", 400),
+    ],
     "per-commit-2-gpu": [
         TestFile("models/lora/test_lora_tp.py", 116),
         TestFile("test_data_parallelism.py", 73),

test/srt/test_ascend_attention_backend.py

@@ -0,0 +1,74 @@
+"""
+Usage:
+python3 -m unittest test_ascend_attention_backend.TestAscendAttnBackend.test_gsm8k
+"""
+
+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.run_eval import run_eval
+from sglang.test.test_utils import (
+    DEFAULT_MODEL_NAME_FOR_TEST,
+    DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
+    DEFAULT_URL_FOR_TEST,
+    CustomTestCase,
+    is_in_ci,
+    popen_launch_server,
+    run_bench_offline_throughput,
+)
+
+
+class TestAscendAttnBackend(CustomTestCase):
+    def test_latency(self):
+        output_throughput = run_bench_offline_throughput(
+            DEFAULT_MODEL_NAME_FOR_TEST,
+            [
+                "--attention-backend",
+                "ascend",
+            ],
+        )
+
+        print(f"{output_throughput=}")
+
+        if is_in_ci():
+            self.assertGreater(output_throughput, 18)
+
+    def test_gsm8k(self):
+        model = DEFAULT_MODEL_NAME_FOR_TEST
+        base_url = DEFAULT_URL_FOR_TEST
+        url = urlparse(base_url)
+        process = popen_launch_server(
+            model,
+            base_url,
+            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
+            other_args=[
+                "--attention-backend",
+                "ascend",
+                "--mem-fraction-static",
+                0.8,
+            ],
+        )
+
+        try:
+            args = SimpleNamespace(
+                num_shots=5,
+                data_path=None,
+                num_questions=1319,
+                max_new_tokens=512,
+                parallel=128,
+                host=f"http://{url.hostname}",
+                port=int(url.port),
+            )
+
+            metrics = run_eval_few_shot_gsm8k(args)
+            self.assertGreaterEqual(metrics["accuracy"], 0.62)
+            self.assertLessEqual(metrics["latency"], 150)
+        finally:
+            kill_process_tree(process.pid)
+
+
+if __name__ == "__main__":
+    unittest.main()

test/srt/test_ascend_mla_backend.py

@@ -0,0 +1,96 @@
+"""
+Usage:
+python3 -m unittest test_ascend_mla_backend.TestAscendMLABackend.test_gsm8k
+"""
+
+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.run_eval import run_eval
+from sglang.test.test_utils import (
+    DEFAULT_MLA_MODEL_NAME_FOR_TEST,
+    DEFAULT_MODEL_NAME_FOR_TEST,
+    DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
+    DEFAULT_URL_FOR_TEST,
+    CustomTestCase,
+    is_in_ci,
+    popen_launch_server,
+    run_bench_offline_throughput,
+)
+
+if "ASCEND_RT_VISIBLE_DEVICES" not in os.environ:
+    os.environ["ASCEND_RT_VISIBLE_DEVICES"] = "0,1,2,3"
+DEFAULT_PORT_FOR_SRT_TEST_RUNNER = (
+    7000 + int(os.environ.get("ASCEND_RT_VISIBLE_DEVICES", "0")[0]) * 100
+)
+DEFAULT_URL_FOR_TEST = f"http://127.0.0.1:{DEFAULT_PORT_FOR_SRT_TEST_RUNNER + 1000}"
+DEFAULT_MODEL_NAME_FOR_TEST = "/models/DeepSeek-V2-Lite-Chat"
+if not os.path.exists(DEFAULT_MODEL_NAME_FOR_TEST):
+    DEFAULT_MODEL_NAME_FOR_TEST = DEFAULT_MLA_MODEL_NAME_FOR_TEST
+
+
+class TestAscendMLABackend(CustomTestCase):
+    def test_latency(self):
+        output_throughput = run_bench_offline_throughput(
+            DEFAULT_MODEL_NAME_FOR_TEST,
+            [
+                "--attention-backend",
+                "ascend",
+                "--mem-fraction-static",
+                0.7,
+                "--tp-size",
+                "4",
+                "--trust-remote-code",
+                "--disable-cuda-graph",
+            ],
+        )
+
+        print(f"{output_throughput=}")
+
+        if is_in_ci():
+            self.assertGreater(output_throughput, 18)
+
+    def test_gsm8k(self):
+        model = DEFAULT_MODEL_NAME_FOR_TEST
+        base_url = DEFAULT_URL_FOR_TEST
+        url = urlparse(base_url)
+        process = popen_launch_server(
+            model,
+            base_url,
+            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
+            other_args=[
+                "--attention-backend",
+                "ascend",
+                "--mem-fraction-static",
+                0.7,
+                "--tp-size",
+                "4",
+                "--trust-remote-code",
+                "--disable-cuda-graph",
+            ],
+        )
+
+        try:
+            args = SimpleNamespace(
+                num_shots=5,
+                data_path=None,
+                num_questions=128,
+                max_new_tokens=512,
+                parallel=128,
+                host=f"http://{url.hostname}",
+                port=int(url.port),
+            )
+
+            metrics = run_eval_few_shot_gsm8k(args)
+            self.assertGreaterEqual(metrics["accuracy"], 0.62)
+            self.assertGreaterEqual(metrics["output_throughput"], 50)
+        finally:
+            kill_process_tree(process.pid)
+
+
+if __name__ == "__main__":
+    unittest.main()