forked from mindspore-Ecosystem/mindspore
!9465 optimize verb description
From: @caozhou_huawei Reviewed-by: @kingxian,@zhunaipan Signed-off-by: @kingxian
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commit
5d3ada2188
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@ -108,7 +108,7 @@ def _update_param(param, new_param):
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def _exec_save(ckpt_file_name, data_list):
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"""Execute save checkpoint into file process."""
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"""Execute the process of saving checkpoint into file."""
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try:
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with _ckpt_mutex:
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@ -163,7 +163,7 @@ def save_checkpoint(save_obj, ckpt_file_name, integrated_save=True, async_save=F
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integrated_save = Validator.check_bool(integrated_save)
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async_save = Validator.check_bool(async_save)
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logger.info("Execute save checkpoint process.")
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logger.info("Execute the process of saving checkpoint.")
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if isinstance(save_obj, nn.Cell):
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save_obj.init_parameters_data()
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@ -209,7 +209,7 @@ def save_checkpoint(save_obj, ckpt_file_name, integrated_save=True, async_save=F
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else:
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_exec_save(ckpt_file_name, data_list)
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logger.info("Save checkpoint process finish.")
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logger.info("Saving checkpoint process finished.")
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def _check_param_prefix(filter_prefix, param_name):
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@ -268,7 +268,7 @@ def load_checkpoint(ckpt_file_name, net=None, strict_load=False, filter_prefix=N
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raise TypeError(f"The type of filter_prefix must be str, list[str] or tuple[str], "
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f"but got {str(type(prefix))} at index {index}.")
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logger.info("Execute load checkpoint process.")
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logger.info("Execute the process of loading checkpoint.")
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checkpoint_list = Checkpoint()
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try:
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@ -312,7 +312,7 @@ def load_checkpoint(ckpt_file_name, net=None, strict_load=False, filter_prefix=N
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param_value = param_data.reshape(param_dim)
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parameter_dict[element.tag] = Parameter(Tensor(param_value, ms_type), name=element.tag)
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logger.info("Load checkpoint process finish.")
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logger.info("Loading checkpoint process finished.")
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except BaseException as e:
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logger.error("Failed to load the checkpoint file `%s`.", ckpt_file_name)
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@ -357,7 +357,7 @@ def load_param_into_net(net, parameter_dict, strict_load=False):
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raise TypeError(msg)
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strict_load = Validator.check_bool(strict_load)
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logger.info("Execute load parameter into net process.")
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logger.info("Execute the process of loading parameter into net.")
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net.init_parameters_data()
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param_not_load = []
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for _, param in net.parameters_and_names():
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@ -378,7 +378,7 @@ def load_param_into_net(net, parameter_dict, strict_load=False):
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for param_name in param_not_load:
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logger.debug("%s", param_name)
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logger.info("Load parameter into net finish.")
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logger.info("Loading parameter into net finished.")
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if param_not_load:
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logger.warning("{} parameters in the net are not loaded.".format(len(param_not_load)))
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return param_not_load
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@ -417,7 +417,7 @@ def _save_graph(network, file_name):
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network (Cell): Obtain a pipeline through network for saving graph.
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file_name (str): Graph file name into which the graph will be saved.
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"""
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logger.info("Execute save the graph process.")
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logger.info("Execute the process of saving graph.")
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graph_proto = network.get_func_graph_proto()
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if graph_proto:
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