Fix checking bug of ApplyCenteredRMSProp

mindspore/ops/operations/nn_ops.py

@@ -1658,9 +1658,11 @@ class ApplyCenteredRMSProp(PrimitiveWithInfer):
                 "mean_square": mean_square_dtype, "moment": moment_dtype, "grad": grad_dtype}
         validator.check_tensor_type_same(args, mstype.number_type, self.name)
 
-        args = {"learning_rate": learning_rate_dtype, "rho": rho_dtype, 'momentum': momentum_dtype,
-                "epsilon": epsilon_dtype}
-        validator.check_scalar_or_tensor_type_same(args, [mstype.float16, mstype.float32], self.name)
+        valid_types = [mstype.float16, mstype.float32]
+        args_rho = {"rho": rho_dtype, 'momentum': momentum_dtype, "epsilon": epsilon_dtype}
+        validator.check_type_same(args_rho, valid_types, self.name)
+        args_lr = {"learning_rate": learning_rate_dtype, "rho": rho_dtype}
+        validator.check_scalar_or_tensor_type_same(args_lr, valid_types, self.name, allow_mix=True)
         return var_dtype