modify some examples

mindspore/train/serialization.py

@@ -240,7 +240,7 @@ def load_checkpoint(ckpt_file_name, net=None, strict_load=False, filter_prefix=N
         ValueError: Checkpoint file is incorrect.
 
     Examples:
-        >>> ckpt_file_name = "./checkpoint/LeNet5-2_1875.ckpt"
+        >>> ckpt_file_name = "./checkpoint/LeNet5-1_32.ckpt"
         >>> param_dict = load_checkpoint(ckpt_file_name, filter_prefix="conv1")
     """
     if not isinstance(ckpt_file_name, str):
@@ -341,8 +341,9 @@ def load_param_into_net(net, parameter_dict, strict_load=False):
         TypeError: Argument is not a Cell, or parameter_dict is not a Parameter dictionary.
 
     Examples:
-        >>> net = LeNet5()
-        >>> param_dict = load_checkpoint("LeNet5-2_1875.ckpt")
+        >>> net = Net()
+        >>> ckpt_file_name = "./checkpoint/LeNet5-1_32.ckpt"
+        >>> param_dict = load_checkpoint(ckpt_file_name, filter_prefix="conv1")
         >>> load_param_into_net(net, param_dict)
     """
     if not isinstance(net, nn.Cell):
@@ -783,9 +784,6 @@ def build_searched_strategy(strategy_filename):
         ValueError: Strategy file is incorrect.
         TypeError: Strategy_filename is not str.
 
-    Examples:
-        >>> strategy_filename = "./strategy_train.ckpt"
-        >>> strategy = build_searched_strategy(strategy_filename)
     """
     if not isinstance(strategy_filename, str):
         raise TypeError(f"The strategy_filename should be str, but got {type(strategy_filename)}.")
@@ -836,17 +834,16 @@ def merge_sliced_parameter(sliced_parameters, strategy=None):
         KeyError: The parameter name is not in keys of strategy.
 
     Examples:
-        >>> strategy = build_searched_strategy("./strategy_train.ckpt")
         >>> sliced_parameters = [
-        >>>                      Parameter(Tensor(np.array([0.00023915, 0.00013939, -0.00098059])),
-        >>>                                "network.embedding_table"),
-        >>>                      Parameter(Tensor(np.array([0.00015815, 0.00015458, -0.00012125])),
-        >>>                                "network.embedding_table"),
-        >>>                      Parameter(Tensor(np.array([0.00042165, 0.00029692, -0.00007941])),
-        >>>                                "network.embedding_table"),
-        >>>                      Parameter(Tensor(np.array([0.00084451, 0.00089960, -0.00010431])),
-        >>>                                "network.embedding_table")]
-        >>> merged_parameter = merge_sliced_parameter(sliced_parameters, strategy)
+        ...                      Parameter(Tensor(np.array([0.00023915, 0.00013939, -0.00098059])),
+        ...                                "network.embedding_table"),
+        ...                      Parameter(Tensor(np.array([0.00015815, 0.00015458, -0.00012125])),
+        ...                                "network.embedding_table"),
+        ...                      Parameter(Tensor(np.array([0.00042165, 0.00029692, -0.00007941])),
+        ...                                "network.embedding_table"),
+        ...                      Parameter(Tensor(np.array([0.00084451, 0.00089960, -0.00010431])),
+        ...                                "network.embedding_table")]
+        >>> merged_parameter = merge_sliced_parameter(sliced_parameters)
     """
     if not isinstance(sliced_parameters, list):
         raise TypeError(f"The sliced_parameters should be list, but got {type(sliced_parameters)}.")