diff --git a/debug/accuracy_tools/api_accuracy_checker/run_ut/run_ut.py b/debug/accuracy_tools/api_accuracy_checker/run_ut/run_ut.py
index 33e2e5adf5e46e9c82a7ed334c29a72814b3bc0e..30dace5e3891109032961bd977467cd917b2f0cd 100644
--- a/debug/accuracy_tools/api_accuracy_checker/run_ut/run_ut.py
+++ b/debug/accuracy_tools/api_accuracy_checker/run_ut/run_ut.py
@@ -66,13 +66,17 @@ def generate_npu_params(input_args, input_kwargs, need_backward):
     return npu_args, npu_kwargs
 
 def generate_cpu_params(input_args, input_kwargs, need_backward):
+    first_dtype = None
     def recursive_arg_to_cpu(arg_in):
+        nonlocal first_dtype
         if isinstance(arg_in, (list, tuple)):
             return type(arg_in)(recursive_arg_to_cpu(arg) for arg in arg_in)
         elif isinstance(arg_in, torch.Tensor):
             if need_backward and arg_in.requires_grad:
-                if str(arg_in.dtype) in Const.RAISE_PRECISION.keys():
+                if str(arg_in.dtype) in Const.RAISE_PRECISION.keys() and arg_in.dtype != first_dtype:
                     arg_in = arg_in.clone().type(eval(Const.RAISE_PRECISION[str(arg_in.dtype)])).detach().requires_grad_()
+                    if first_dtype is None:
+                        first_dtype = arg_in.dtype
                 else:
                     arg_in = arg_in.clone().detach().requires_grad_()
                 temp_arg_in = arg_in * 1
@@ -80,8 +84,11 @@ def generate_cpu_params(input_args, input_kwargs, need_backward):
                 arg_in.retain_grad()
                 return arg_in
             else:
-                if str(arg_in.dtype) in Const.RAISE_PRECISION.keys():
-                    return arg_in.clone().type(eval(Const.RAISE_PRECISION[str(arg_in.dtype)])).detach()
+                if str(arg_in.dtype) in Const.RAISE_PRECISION.keys() and arg_in.dtype != first_dtype:
+                    arg_in = arg_in.clone().type(eval(Const.RAISE_PRECISION[str(arg_in.dtype)])).detach()
+                    if first_dtype is None:
+                        first_dtype = arg_in.dtype
+                    return arg_in
                 return arg_in.clone().detach()
         else:
             return arg_in