diff --git a/debug/accuracy_tools/msprobe/pytorch/module_processer.py b/debug/accuracy_tools/msprobe/pytorch/module_processer.py
index f9368a087458ef62b875ccbad7c9d3c101aea7ec..9cee721db9b4ea6fce0969a22cac409bf71859e7 100644
--- a/debug/accuracy_tools/msprobe/pytorch/module_processer.py
+++ b/debug/accuracy_tools/msprobe/pytorch/module_processer.py
@@ -26,9 +26,15 @@ class ModuleProcesser:
     def filter_tensor_and_tuple(func):
         @wraps(func)
         def wrap_by_filter_tensor_and_tuple(*args, **kwargs):
-            # setup_output_hook传入非tensor数据，工具后续dump会报错，处理方式是非tensor数据不传入
+            # setup_output_hook传入非tensor数据，工具后续dump会报错，处理方式是解析非tensor数据的属性，对tensor属性挂hook
             # setup_output_hook定义为setup_output_hook(self, args)，因此处理第二个位置参数，即*args[1]
             if not isinstance(args[1], (torch.Tensor, tuple)):
+                for item_str in dir(args[1]):
+                    item = getattr(args[1], item_str)
+                    if isinstance(item, (torch.Tensor, tuple)):
+                        args_new = (args[0], item)
+                        result = func(*args_new, **kwargs)
+                        setattr(args[1], item_str, result)
                 return args[1]
             return func(*args, **kwargs)