diff --git a/ACL_PyTorch/built-in/audio/RawNet2_for_Pytorch/acl_net.py b/ACL_PyTorch/built-in/audio/RawNet2_for_Pytorch/acl_net.py
index b39eb3530ccc10c2b45808793365744d03ef20a6..69f1ab160a061b11921b6c7e715504ecd3c43544 100644
--- a/ACL_PyTorch/built-in/audio/RawNet2_for_Pytorch/acl_net.py
+++ b/ACL_PyTorch/built-in/audio/RawNet2_for_Pytorch/acl_net.py
@@ -157,12 +157,9 @@ class Net(object):
 
         for i, item in enumerate(temp_data_buffer):
             if policy == ACL_MEMCPY_HOST_TO_DEVICE:
-                ptr = acl.util.numpy_to_ptr(dataset[i])
-                ret = acl.rt.memcpy(item["buffer"],
-                                    item["size"],
-                                    ptr,
-                                    item["size"],
-                                    policy)
+                bytes_in = dataset[i].tobytes()
+                ptr = acl.util.bytes_to_ptr(bytes_in)
+                ret = acl.rt.memcpy(item["buffer"], item["size"], ptr, item["size"], policy)
                 check_ret("acl.rt.memcpy", ret)
 
             else:
@@ -252,7 +249,7 @@ class Net(object):
 
             size = output_data[i]["size"]
             ptr = output_data[i]["buffer"]
-            data = acl.util.ptr_to_numpy(ptr, (size,), 1)
+            data = acl.util.ptr_to_bytes(ptr, size)
             np_arr = np.frombuffer(bytearray(data[:data_len * ftype.itemsize]), dtype=ftype, count=data_len)
             np_arr = np_arr.reshape(data_shape)
             dataset.append(np_arr)
diff --git a/ACL_PyTorch/built-in/cv/Yolov5_for_Pytorch/acl_net.py b/ACL_PyTorch/built-in/cv/Yolov5_for_Pytorch/acl_net.py
index cd9e01ea0cf35923eeca555c4b9baabeffa9d6d6..8ce8d68b0afe7798dd5dcfe9257d526c59427a05 100644
--- a/ACL_PyTorch/built-in/cv/Yolov5_for_Pytorch/acl_net.py
+++ b/ACL_PyTorch/built-in/cv/Yolov5_for_Pytorch/acl_net.py
@@ -158,7 +158,8 @@ class Net(object):
 
         for i, item in enumerate(temp_data_buffer):
             if policy == ACL_MEMCPY_HOST_TO_DEVICE:
-                ptr = acl.util.numpy_to_ptr(dataset[i])
+                bytes_in = dataset[i].tobytes()
+                ptr = acl.util.bytes_to_ptr(bytes_in)
                 ret = acl.rt.memcpy(item["buffer"], item["size"], ptr, item["size"], policy)
                 check_ret("acl.rt.memcpy", ret)
 
@@ -241,7 +242,7 @@ class Net(object):
 
             size = output_data[i]["size"]
             ptr = output_data[i]["buffer"]
-            data = acl.util.ptr_to_numpy(ptr, (size,), 1)
+            data = acl.util.ptr_to_bytes(ptr, size)
             np_array = np.frombuffer(bytearray(data[:data_len * ftype.itemsize]), dtype=ftype, count=data_len)
             np_array = np_array.reshape(data_shape)
             dataset.append(np_array)
diff --git a/ACL_PyTorch/built-in/cv/Yolov5_for_Pytorch/modify_model.py b/ACL_PyTorch/built-in/cv/Yolov5_for_Pytorch/modify_model.py
index 05ede57e36a92ea2f1ad826ea6d680164b32fac8..e29882d005e2ec521bd8cd496b9ff784f7b84ae1 100644
--- a/ACL_PyTorch/built-in/cv/Yolov5_for_Pytorch/modify_model.py
+++ b/ACL_PyTorch/built-in/cv/Yolov5_for_Pytorch/modify_model.py
@@ -91,7 +91,7 @@ def main(args):
     model.graph.output.append(box_out)
     model.graph.output.append(box_out_num)
 
-    onnx.save(model, model_path.split('.')[0] + "_t.onnx")
+    onnx.save(model, model_path.split('.onnx')[0] + "_t.onnx")
     print("success")