fix multimodal hash feature (sgl-project#5083)

Author: huangtingwei9988

python/sglang/srt/managers/schedule_batch.py

@@ -198,8 +198,15 @@ def set_pad_value(self):
         Set the pad value after first hashign the data
         """
 
+        def tensor_hash(f):
+            f_list = flatten_nested_list(f)
+            f_cat = torch.concat(f_list).contiguous().numpy().tobytes()
+            return hash(f_cat)
+
         def hash_feature(f):
             if isinstance(f, list):
+                if isinstance(f[0], torch.Tensor):
+                    return tensor_hash(f)
                 return hash(tuple(flatten_nested_list(f)))
             elif isinstance(f, np.ndarray):
                 arr = np.ascontiguousarray(f)