optimize English expression

mindspore/train/serialization.py

@@ -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 the process of saving checkpoint.")
+    logger.info("Execute the process of saving checkpoint files.")
 
     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("Saving checkpoint process finished.")
+    logger.info("Saving checkpoint process is 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 the process of loading checkpoint.")
+    logger.info("Execute the process of loading checkpoint files.")
     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("Loading checkpoint process finished.")
+        logger.info("Loading checkpoint files process is finished.")
 
     except BaseException as e:
         logger.error("Failed to load the checkpoint file `%s`.", ckpt_file_name)
@@ -357,7 +357,7 @@ def load_param_into_net(net, parameter_dict, strict_load=False):
         raise TypeError(msg)
 
     strict_load = Validator.check_bool(strict_load)
-    logger.info("Execute the process of loading parameter into net.")
+    logger.info("Execute the process of loading parameters into net.")
     net.init_parameters_data()
     param_not_load = []
     for _, param in net.parameters_and_names():
@@ -378,7 +378,7 @@ 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("Loading parameter into net finished.")
+    logger.info("Loading parameters into net is finished.")
     if param_not_load:
         logger.warning("{} parameters in the net are not loaded.".format(len(param_not_load)))
     return param_not_load