optimize verb description

mindspore/train/serialization.py

@@ -108,7 +108,7 @@ def _update_param(param, new_param):
 
 
 def _exec_save(ckpt_file_name, data_list):
-    """Execute save checkpoint into file process."""
+    """Execute the process of saving checkpoint into file."""
 
     try:
         with _ckpt_mutex:
@@ -163,7 +163,7 @@ def save_checkpoint(save_obj, ckpt_file_name, integrated_save=True, async_save=F
     integrated_save = Validator.check_bool(integrated_save)
     async_save = Validator.check_bool(async_save)
 
-    logger.info("Execute save checkpoint process.")
+    logger.info("Execute the process of saving checkpoint.")
 
     if isinstance(save_obj, nn.Cell):
         save_obj.init_parameters_data()
@@ -209,7 +209,7 @@ def save_checkpoint(save_obj, ckpt_file_name, integrated_save=True, async_save=F
     else:
         _exec_save(ckpt_file_name, data_list)
 
-    logger.info("Save checkpoint process finish.")
+    logger.info("Saving checkpoint process finished.")
 
 
 def _check_param_prefix(filter_prefix, param_name):
@@ -268,7 +268,7 @@ def load_checkpoint(ckpt_file_name, net=None, strict_load=False, filter_prefix=N
                 raise TypeError(f"The type of filter_prefix must be str, list[str] or tuple[str], "
                                 f"but got {str(type(prefix))} at index {index}.")
 
-    logger.info("Execute load checkpoint process.")
+    logger.info("Execute the process of loading checkpoint.")
     checkpoint_list = Checkpoint()
 
     try:
@@ -312,7 +312,7 @@ def load_checkpoint(ckpt_file_name, net=None, strict_load=False, filter_prefix=N
                     param_value = param_data.reshape(param_dim)
                     parameter_dict[element.tag] = Parameter(Tensor(param_value, ms_type), name=element.tag)
 
-        logger.info("Load checkpoint process finish.")
+        logger.info("Loading checkpoint process finished.")
 
     except BaseException as e:
         logger.error("Failed to load the checkpoint file `%s`.", ckpt_file_name)
@@ -356,7 +356,7 @@ def load_param_into_net(net, parameter_dict, strict_load=False):
         raise TypeError(msg)
 
     strict_load = Validator.check_bool(strict_load)
-    logger.info("Execute load parameter into net process.")
+    logger.info("Execute the process of loading parameter into net.")
     net.init_parameters_data()
     param_not_load = []
     for _, param in net.parameters_and_names():
@@ -377,7 +377,7 @@ def load_param_into_net(net, parameter_dict, strict_load=False):
     for param_name in param_not_load:
         logger.debug("%s", param_name)
 
-    logger.info("Load parameter into net finish.")
+    logger.info("Loading parameter into net finished.")
     if param_not_load:
         logger.warning("{} parameters in the net are not loaded.".format(len(param_not_load)))
     return param_not_load
@@ -416,7 +416,7 @@ def _save_graph(network, file_name):
         network (Cell): Obtain a pipeline through network for saving graph.
         file_name (str): Graph file name into which the graph will be saved.
     """
-    logger.info("Execute save the graph process.")
+    logger.info("Execute the process of saving graph.")
 
     graph_proto = network.get_func_graph_proto()
     if graph_proto: