modify read proto

mindspore/train/_utils.py

@@ -25,6 +25,7 @@ from mindspore import log as logger
 from mindspore.common.api import _executor
 from mindspore.train.mind_ir_pb2 import ModelProto as mindir_model
 from mindspore.train.anf_ir_pb2 import ModelProto as anf_model
+from mindspore.train.checkpoint_pb2 import Checkpoint
 
 from .lineage_pb2 import DatasetGraph, TrainLineage, EvaluationLineage, UserDefinedInfo
 
@@ -208,13 +209,14 @@ def check_value_type(arg_name, arg_value, valid_types):
                         f'but got {type(arg_value).__name__}.')
 
 
-def read_proto(file_name, proto_format="MINDIR"):
+def read_proto(file_name, proto_format="MINDIR", display_data=False):
     """
     Read protobuf file.
 
     Args:
         file_name (str): File name.
-        proto_format (str): Proto format.
+        proto_format (str): Proto format {MINDIR, ANF, CKPT}.  Default: MINDIR.
+        display_data (bool): Whether display data. Default: False.
 
     Returns:
         Object, proto object.
@@ -222,8 +224,10 @@ def read_proto(file_name, proto_format="MINDIR"):
 
     if proto_format == "MINDIR":
         model = mindir_model()
-    elif model_format == "ANF":
+    elif proto_format == "ANF":
         model = anf_model()
+    elif proto_format == "CKPT":
+        model = Checkpoint()
     else:
         raise ValueError("Unsupported proto format.")
 
@@ -234,4 +238,13 @@ def read_proto(file_name, proto_format="MINDIR"):
     except BaseException as e:
         logger.error("Failed to read the file `%s`, please check the correct of the file.", file_name)
         raise ValueError(e.__str__())
+
+    if proto_format == "MINDIR" and not display_data:
+        for param_proto in model.graph.parameter:
+            param_proto.raw_data = b'\0'
+
+    if proto_format == "CKPT" and not display_data:
+        for element in model.value:
+            element.tensor.tensor_content = b'\0'
+
     return model