Piecewise Cuda Graph set default (#16331)

python/sglang/srt/configs/model_config.py

@@ -193,6 +193,10 @@ class ModelConfig:
         self.is_local_attention_model = is_local_attention_model(
             self.hf_config.architectures
         )
+        self.is_piecewise_cuda_graph_disabled_model = (
+            is_piecewise_cuda_graph_disabled_model(self.hf_config.architectures)
+            or is_deepseek_nsa(self.hf_text_config)
+        )
         self.dtype = _get_and_verify_dtype(self.hf_text_config, dtype)
 
         # Derive context length and model shapes
@@ -1274,6 +1278,14 @@ multimodal_model_archs = [
     "KimiK25ForConditionalGeneration",
 ]
 
+piecewise_cuda_graph_disabled_model_archs = [
+    "DeepseekV32ForCausalLM",
+    "Qwen3NextForCausalLM",
+    "GlmMoeDsaForCausalLM",
+    "BailingMoeV2_5ForCausalLM",
+    "LLaDAModelLM",
+]
+
 if external_mm_model_arch := envs.SGLANG_EXTERNAL_MM_MODEL_ARCH.get():
     multimodal_model_archs.append(external_mm_model_arch)
 
@@ -1329,6 +1341,13 @@ def is_multimodal_chunked_prefill_supported(model_architectures: List[str]):
         return True
 
 
+def is_piecewise_cuda_graph_disabled_model(model_architectures: List[str]):
+    return any(
+        arch in piecewise_cuda_graph_disabled_model_archs
+        for arch in model_architectures
+    )
+
+
 def yarn_get_mscale(scale: float = 1, mscale: float = 1) -> float:
     if scale <= 1:
         return 1.0