diff --git a/mindinsight/debugger/dump/convert.py b/mindinsight/debugger/dump/convert.py
index 864e3ae9..cba20376 100644
--- a/mindinsight/debugger/dump/convert.py
+++ b/mindinsight/debugger/dump/convert.py
@@ -178,10 +178,10 @@ class DirConvert:
 
     def rename_generated_npy_file(self):
         """Rename the npy file generated by HISI tool to MS file name format."""
-        # before change, the file name is format like:
-        # {op_type}.{op_name_with_scope}.{task_id}(.stream_id).{timestamp}.{tensor_type}.{slot}.{shape}.npy
-        # after change, the file name is format like:
-        # {op_type}.{op_name}.{task_id}(.stream_id).{timestamp}.{tensor_type}.{slot}.{format}.npy
+        # before change
+        # file name: {op_type}.{op_name_with_scope}.{task_id}(.stream_id).{timestamp}.{tensor_type}.{slot}.{shape}.npy
+        # after change
+        # file name: {op_type}.{op_name}.{task_id}(.stream_id).{timestamp}.{tensor_type}.{slot}.{format}.npy
         if not self._is_npy_target():
             return
         self.hisi_utils.print_info_log(
@@ -193,6 +193,7 @@ class DirConvert:
             name_splits[1] = name_splits[1].split('_')[-1]
             name_splits[-2] = target_format
             new_file_name = '.'.join(name_splits)
+            file.chmod(stat.S_IRUSR)
             file.rename(file.with_name(new_file_name))
 
     def convert_failed_tensors(self):
@@ -200,6 +201,7 @@ class DirConvert:
         failed_lines = []
         if not self.failed_file_path.is_file():
             return failed_lines
+        os.chmod(self.failed_file_path, stat.S_IRUSR)
         with self.failed_file_path.open() as handler:
             failed_line = handler.readline().strip('\n')
             while failed_line:
@@ -224,7 +226,7 @@ class DirConvert:
             for missing_tensor in missing_tensors:
                 tensor_type, idx = missing_tensor.split(':')
                 idx = int(idx)
-                tensor = op_data.input[idx] if tensor_type == 'input' else op_data.output[idx]
+                tensor = getattr(op_data, tensor_type)[idx]
                 dump_data_array = self.get_tensor_numpy_value(tensor)
                 self.save_tensor_file(op_file, tensor_type, idx, tensor, dump_data_array)
 
@@ -280,6 +282,7 @@ class DirConvert:
         )
         out_path = os.path.join(self.args_parser.output_path, out_file_name)
         np.save(out_path, dump_data_array)
+        os.chmod(out_path, stat.S_IRUSR)
 
     def _save_tensor_in_bin(self, op_name, tensor_type, idx, tensor, dump_data_array):
         """
@@ -304,6 +307,7 @@ class DirConvert:
         )
         out_path = os.path.join(self.args_parser.output_path, out_file_name)
         dump_data_array.tofile(out_path)
+        os.chmod(out_path, stat.S_IRUSR)
 
 
 class FileMapping:
@@ -474,14 +478,14 @@ class OpPath:
         return [str(path) for path in path_gen]
 
     @property
-    def input(self):
+    def inputs(self):
         """The list of input tensor files."""
         if self._input_files is None:
             self._input_files = self._convert_path_gen_to_list(self._input_gen)
         return self._input_files
 
     @property
-    def output(self):
+    def outputs(self):
         """The list of output tensor file paths."""
         if self._output_files is None:
             self._output_files = self._convert_path_gen_to_list(self._output_gen)
@@ -495,7 +499,7 @@ class OpPath:
     def to_dict(self):
         """Get operator files of one iteration in dict format."""
         res = {
-            'input': self.input,
-            'output': self.output
+            'input': self.inputs,
+            'output': self.outputs
         }
         return res