update max_seq_len_to_capture

vllm/config.py

@@ -313,7 +313,8 @@ class ModelConfig:
     graph and always execute the model in eager mode. If False, we will use
     CUDA graph and eager execution in hybrid for maximal performance and
     flexibility."""
-    max_seq_len_to_capture: int = 8192
+    # max_seq_len_to_capture: int = 8192
+    max_seq_len_to_capture: bool = None
     """Maximum sequence len covered by CUDA graphs. When a sequence has context
     length larger than this, we fall back to eager mode. Additionally for
     encoder-decoder models, if the sequence length of the encoder input is
@@ -973,9 +974,11 @@ class ModelConfig:
                     "non-quantized models.", self.quantization)
 
     def _verify_cuda_graph(self) -> None:
-        # self.max_seq_len_to_capture = min(self.max_seq_len_to_capture,
-        #                                   self.max_model_len)
+        if self.max_seq_len_to_capture is None:
             self.max_seq_len_to_capture = self.max_model_len
+        self.max_seq_len_to_capture = min(self.max_seq_len_to_capture,
+                                          self.max_model_len)
+        # self.max_seq_len_to_capture = self.max_model_len
         # CUDAGraph capture not supported for enc-dec models and mllama on ROCm
         ROCM_UNSUPPORTED_MODELS = ['mllama']
         unsupported_rocm = (self.hf_config.model_type