diff --git a/mindspore/train/serialization.py b/mindspore/train/serialization.py index df5f1c11820..0c32712f960 100644 --- a/mindspore/train/serialization.py +++ b/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) @@ -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 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(): @@ -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("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 @@ -417,7 +417,7 @@ 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: