AutoWeightLoader support Sglang native models 1: demo (#28671)

2026-07-21 14:32:13 -07:00
parent 0eae9423d8
commit becf252e6c
6 changed files with 592 additions and 0 deletions
@@ -0,0 +1,86 @@
+# Copyright 2023-2025 SGLang Team
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# ==============================================================================
+
+from sglang.test.ci.ci_register import register_cuda_ci
+
+register_cuda_ci(est_time=120, stage="base-b", runner_config="1-gpu-small")
+
+import multiprocessing as mp
+
+import torch
+
+from sglang.srt.environ import envs
+from sglang.test.runners import SRTRunner, check_close_model_outputs
+from sglang.test.test_utils import CustomTestCase
+
+MODEL = "Qwen/Qwen2-0.5B"
+SHORT_PROMPT = "The capital of the United Kingdom is"
+
+
+class TestWeightLoaderV2E2E(CustomTestCase):
+    @classmethod
+    def setUpClass(cls):
+        mp.set_start_method("spawn", force=True)
+
+    def _runner_kwargs(self):
+        return dict(
+            torch_dtype=torch.float16,
+            model_type="generation",
+            disable_cuda_graph=True,
+            disable_radix_cache=True,
+            trust_remote_code=True,
+            max_total_tokens=2048,
+        )
+
+    def test_qwen2_native_v1_v2_generation_match(self):
+        prompts = [SHORT_PROMPT]
+        max_new_tokens = 32
+        kwargs = self._runner_kwargs()
+
+        with envs.SGLANG_ENABLE_WEIGHT_LOADER_V2.override(False):
+            with SRTRunner(MODEL, **kwargs) as runner_v1:
+                out_v1 = runner_v1.forward(prompts, max_new_tokens=max_new_tokens)
+
+        with envs.SGLANG_ENABLE_WEIGHT_LOADER_V2.override(True):
+            with SRTRunner(MODEL, **kwargs) as runner_v2:
+                out_v2 = runner_v2.forward(prompts, max_new_tokens=max_new_tokens)
+
+        check_close_model_outputs(
+            hf_outputs=out_v1,
+            srt_outputs=out_v2,
+            prefill_tolerance=1e-6,
+            decode_tolerance=1e-6,
+            rouge_l_tolerance=1.0,
+            debug_text="qwen2 native v1 vs v2 weight loader",
+        )
+
+    def test_transformers_impl_loads_and_generates(self):
+        prompts = [SHORT_PROMPT]
+        max_new_tokens = 16
+
+        with SRTRunner(
+            MODEL,
+            model_impl="transformers",
+            **self._runner_kwargs(),
+        ) as runner:
+            outputs = runner.forward(prompts, max_new_tokens=max_new_tokens)
+
+        self.assertEqual(len(outputs.output_strs), 1)
+        self.assertGreater(len(outputs.output_strs[0]), 0)
+
+
+if __name__ == "__main__":
+    import unittest
+
+    unittest.main()