diff --git a/docs/api/api_python/mindspore/mindspore.load_param_into_net.rst b/docs/api/api_python/mindspore/mindspore.load_param_into_net.rst
index 2e7f19bf816..077e47aec35 100644
--- a/docs/api/api_python/mindspore/mindspore.load_param_into_net.rst
+++ b/docs/api/api_python/mindspore/mindspore.load_param_into_net.rst
@@ -12,6 +12,7 @@ mindspore.load_param_into_net
 
     返回：
         List，网络中没有被加载的参数。
+        List，checkpoint文件中没有被加载的参数。
 
     异常：
         - **TypeError** - 如果参数不是Cell，或者 `parameter_dict` 不是Parameter类型的字典。
diff --git a/mindspore/python/mindspore/train/serialization.py b/mindspore/python/mindspore/train/serialization.py
index 3f693b8d149..0ead308e568 100644
--- a/mindspore/python/mindspore/train/serialization.py
+++ b/mindspore/python/mindspore/train/serialization.py
@@ -958,7 +958,8 @@ def load_param_into_net(net, parameter_dict, strict_load=False):
                             on the parameters of the same type, such as float32 to float16. Default: False.
 
     Returns:
-        List, the parameter name which are not loaded into the network.
+        List, the parameter name in model which are not loaded into the network.
+        List, the parameter name in checkpoint file which are not loaded into the network.
 
     Raises:
         TypeError: Argument is not a Cell, or parameter_dict is not a Parameter dictionary.
@@ -994,10 +995,12 @@ def load_param_into_net(net, parameter_dict, strict_load=False):
     logger.info("Execute the process of loading parameters into net.")
     net.init_parameters_data()
     param_not_load = []
+    ckpt_not_load = list(parameter_dict.keys())
     for _, param in net.parameters_and_names():
         if param.name in parameter_dict:
             new_param = copy.deepcopy(parameter_dict[param.name])
             _update_param(param, new_param, strict_load)
+            ckpt_not_load.remove(param.name)
         else:
             param_not_load.append(param.name)
 
@@ -1016,7 +1019,7 @@ def load_param_into_net(net, parameter_dict, strict_load=False):
                        "when training and loading checkpoint.".format(len(param_not_load)))
         for param_name in param_not_load:
             logger.warning("{} is not loaded.".format(param_name))
-    return param_not_load
+    return param_not_load, ckpt_not_load
 
 
 def _load_dismatch_prefix_params(net, parameter_dict, param_not_load, strict_load):