add valid check

mindspore/common/parameter.py

@@ -316,7 +316,8 @@ class Parameter(MetaTensor_):
 
         Args:
             data (Union[Tensor, MetaTensor, int, float]): new data.
-            slice_shape (bool): If slice the Parameter, will not check if shape is match. Default: False.
+            slice_shape (bool): If slice the parameter is set to true, the shape is not checked for consistency.
+                                Default: False.
 
         Returns:
             Parameter, the parameter after set data.

mindspore/nn/optim/adam.py

@@ -336,6 +336,9 @@ class Adam(Optimizer):
     def target(self, value):
         """If the input value is set to "CPU", the parameters will be updated on the host using the Fused
            optimizer operation."""
+        if not isinstance(value, str):
+            raise ValueError("The value must be str type, but got value type is {}".format(type(value)))
+
         if value not in ('CPU', 'Ascend'):
             raise ValueError("The value must be 'CPU' or 'Ascend', but got value {}".format(value))
 

mindspore/nn/optim/ftrl.py

@@ -189,6 +189,8 @@ class FTRL(Optimizer):
     def target(self, value):
         """If the input value is set to "CPU", the parameters will be updated on the host using the Fused
            optimizer operation."""
+        if not isinstance(value, str):
+            raise ValueError("The value must be str type, but got value type is {}".format(type(value)))
 
         if value not in ('CPU', 'Ascend'):
             raise ValueError("The value must be 'CPU' or 'Ascend', but got value {}".format(value))

mindspore/nn/optim/lazyadam.py

@@ -254,6 +254,9 @@ class LazyAdam(Optimizer):
     def target(self, value):
         """If the input value is set to "CPU", the parameters will be updated on the host using the Fused
            optimizer operation."""
+        if not isinstance(value, str):
+            raise ValueError("The value must be str type, but got value type is {}".format(type(value)))
+
         if value not in ('CPU', 'Ascend'):
             raise ValueError("The value must be 'CPU' or 'Ascend', but got value {}".format(value))
 

mindspore/nn/optim/proximal_ada_grad.py

@@ -158,6 +158,8 @@ class ProximalAdagrad(Optimizer):
     def target(self, value):
         """If the input value is set to "CPU", the parameters will be updated on the host using the Fused
            optimizer operation."""
+        if not isinstance(value, str):
+            raise ValueError("The value must be str type, but got value type is {}".format(type(value)))
 
         if value not in ('CPU', 'Ascend'):
             raise ValueError("The value must be 'CPU' or 'Ascend', but got value {}".format(value))