[NPU] [DLLM]DLLM LLaDA2.x graph mode support with NPU speedup modifications (#18485)

Co-authored-by: Zhang-Xiaoxue <xiaoxuezhang17@outlook.com> Co-authored-by: dawncc <dawn.cc022@gmail.com> Co-authored-by: lixinqi7 <li_xinqi7@163.com> Co-authored-by: rangejay <rangejay1st@163.com>
2026-03-09 22:41:05 +08:00
parent d116a8cd94
commit 11b76d24dc
8 changed files with 250 additions and 9 deletions
@@ -0,0 +1,87 @@
+import os
+import unittest
+from types import SimpleNamespace
+
+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.send_one import BenchArgs, send_one_prompt
+from sglang.test.test_utils import (
+    DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
+    DEFAULT_URL_FOR_TEST,
+    CustomTestCase,
+    is_in_ci,
+    popen_launch_server,
+    write_github_step_summary,
+)
+
+
+class TestLLaDA2Mini(CustomTestCase):
+    @classmethod
+    def setUpClass(cls):
+        cls._old_disable_acl = os.environ.get("SGLANG_NPU_DISABLE_ACL_FORMAT_WEIGHT")
+        os.environ["SGLANG_NPU_DISABLE_ACL_FORMAT_WEIGHT"] = "1"
+
+        cls.model = "/root/.cache/modelscope/hub/models/inclusionAI/LLaDA2.0-mini"
+        cls.base_url = DEFAULT_URL_FOR_TEST
+
+        other_args = [
+            "--trust-remote-code",
+            "--disable-radix-cache",
+            "--mem-fraction-static",
+            "0.9",
+            "--max-running-requests",
+            "1",
+            "--attention-backend",
+            "ascend",
+            "--dllm-algorithm",
+            "LowConfidence",  # TODO: Add dLLM configurations
+        ]
+
+        cls.process = popen_launch_server(
+            cls.model,
+            cls.base_url,
+            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
+            other_args=other_args,
+        )
+
+    @classmethod
+    def tearDownClass(cls):
+        kill_process_tree(cls.process.pid)
+
+        if cls._old_disable_acl is None:
+            os.environ.pop("SGLANG_NPU_DISABLE_ACL_FORMAT_WEIGHT", None)
+        else:
+            os.environ["SGLANG_NPU_DISABLE_ACL_FORMAT_WEIGHT"] = cls._old_disable_acl
+
+    def test_gsm8k(self):
+        args = SimpleNamespace(
+            num_shots=5,
+            data_path=None,
+            num_questions=200,
+            max_new_tokens=512,
+            parallel=128,
+            host="http://127.0.0.1",
+            port=int(self.base_url.split(":")[-1]),
+        )
+        metrics = run_eval_few_shot_gsm8k(args)
+        print(f"{metrics=}")
+
+        self.assertGreater(metrics["accuracy"], 0.88)
+        self.assertGreater(metrics["output_throughput"], 70)
+
+    def test_bs_1_speed(self):
+        args = BenchArgs(port=int(self.base_url.split(":")[-1]), max_new_tokens=2048)
+        acc_length, speed = send_one_prompt(args)
+
+        print(f"{speed=:.2f}")
+
+        if is_in_ci():
+            write_github_step_summary(
+                f"### test_bs_1_speed (llada2-mini) with tp1\n"
+                f"{speed=:.2f} token/s\n"
+            )
+            self.assertGreater(speed, 130)
+
+
+if __name__ == "__main__":
+    unittest.main()
@@ -107,6 +107,7 @@ suite_ascend = {
        TestFile("ascend/test_ascend_hicache_mla.py", 400),
        TestFile("ascend/test_ascend_tp4_bf16.py", 400),
        TestFile("ascend/test_ascend_w4a4_quantization.py", 600),
+        TestFile("ascend/test_llada2_mini_ascend.py", 800),
    ],
    "per-commit-16-npu-a3": [
        TestFile("ascend/test_ascend_deepep.py", 3600),