diff --git a/debug/accuracy_tools/ptdbg_ascend/src/python/ptdbg_ascend/common/utils.py b/debug/accuracy_tools/ptdbg_ascend/src/python/ptdbg_ascend/common/utils.py
index 3b8bcc4b5f3a1a6ef33c860b586270014c1b959d..5957eb1924ffcb41d16843e79701b1296ab8cbfa 100644
--- a/debug/accuracy_tools/ptdbg_ascend/src/python/ptdbg_ascend/common/utils.py
+++ b/debug/accuracy_tools/ptdbg_ascend/src/python/ptdbg_ascend/common/utils.py
@@ -626,18 +626,18 @@ def check_seed_all(seed, mode):
 def get_process_rank(model):
     print_info_log("Rank id is not provided. Trying to get the rank id of the model.")
     try:
-        device = next(model.parameters()).device
+        local_device = next(model.parameters()).device
     except StopIteration:
         print_warn_log('There is no parameter in the model. Fail to get rank id.')
         return 0, False
-    if device.type == 'cpu':
+    if local_device.type == 'cpu':
         print_warn_log("Warning: the debugger is unable to get the rank id. "
             "This may cause the dumpped data to be corrupted in the "
             "case of distributed training. (You may ignore this if you are using only one card.) "
             "Transfer the model to npu or gpu before register_hook() to avoid this warning.")
         return 0, False
     else:
-        return device.index, True
+        return local_device.index, True
 
 
 def parameter_adapter(func):
@@ -645,24 +645,24 @@ def parameter_adapter(func):
     @wraps(func)
     def inner(self, *args, **kwargs):
         if self.op_name_ == "__getitem__" and len(args) > 1 and isinstance(args[1], torch.Tensor):
-            input = args[0]
+            input_tensor = args[0]
             indices = args[1]
             if indices.dtype == torch.uint8:
                 indices = indices.bool()
             if indices.dtype == torch.bool:
-                if indices.shape == input.shape:
-                    return getattr(torch._C._VariableFunctionsClass, "masked_select")(input, indices)
+                if indices.shape == input_tensor.shape:
+                    return getattr(torch._C._VariableFunctionsClass, "masked_select")(input_tensor, indices)
                 else:
                     indices = getattr(torch._C._VariableFunctionsClass, "nonzero")(indices, as_tuple=True)
-                    return getattr(torch._C._TensorBase, "__getitem__")(input, indices)
+                    return getattr(torch._C._TensorBase, "__getitem__")(input_tensor, indices)
             elif indices.dtype != torch.bool:
                 if len(indices.shape) == 1:
-                    return func(self, input, indices.tolist())
+                    return func(self, input_tensor, indices.tolist())
                 elif len(indices.shape) == 2:
-                    result = [func(self, input, index) for index in indices.tolist()]
+                    result = [func(self, input_tensor, index) for index in indices.tolist()]
                     return getattr(torch._C._VariableFunctionsClass, "stack")(result, 0)
                 else:
-                    res = [input[tensor_index] for tensor_index in indices]
+                    res = [input_tensor[tensor_index] for tensor_index in indices]
                     return getattr(torch._C._VariableFunctionsClass, "stack")(res, 0)
         return func(self, *args, **kwargs)
     return inner
diff --git a/debug/accuracy_tools/ptdbg_ascend/src/python/ptdbg_ascend/dump/dump.py b/debug/accuracy_tools/ptdbg_ascend/src/python/ptdbg_ascend/dump/dump.py
index c5e3dd7b5054327a4ec26009e605898b3a35d13d..e726d2bc277c6b69a3704d794ad1a748f2655387 100644
--- a/debug/accuracy_tools/ptdbg_ascend/src/python/ptdbg_ascend/dump/dump.py
+++ b/debug/accuracy_tools/ptdbg_ascend/src/python/ptdbg_ascend/dump/dump.py
@@ -109,7 +109,6 @@ def json_dump_condition(prefix):
 
 
 def dump_tensor(x, prefix, dump_step):
-    global data_info
     if isinstance(x, (tuple, list)) and x:
         for i, item in enumerate(x):
             dump_tensor(item, "{}.{}".format(prefix, i), dump_step)
diff --git a/debug/accuracy_tools/ptdbg_ascend/src/python/setup.py b/debug/accuracy_tools/ptdbg_ascend/src/python/setup.py
index 02b990655aa04f9dec91898d11fcd124cc8a2bbb..8ce00ca4f7b665e8a2d1e9135fec2e6aaa3d8e2f 100644
--- a/debug/accuracy_tools/ptdbg_ascend/src/python/setup.py
+++ b/debug/accuracy_tools/ptdbg_ascend/src/python/setup.py
@@ -31,7 +31,7 @@ def generate_ptdbg_ascend_version():
     flags = os.O_WRONLY | os.O_CREAT | os.O_EXCL
     modes = stat.S_IWUSR | stat.S_IRUSR
     with os.fdopen(os.open(version_path, flags, modes), 'w') as f:
-        f.write("__version__ = '{version}'\n".format(version = VERSION))
+        f.write("__version__ = '{version}'\n".format(version=VERSION))
 
 generate_ptdbg_ascend_version()
 
@@ -40,7 +40,7 @@ setuptools.setup(name='ptdbg_ascend',
     description='This is a pytorch precision comparison tools',
     long_description='This is a pytorch precision comparison tools, include overflow detect tool',
     packages=setuptools.find_packages(),
-    install_requires = [
+    install_requires=[
         "wheel",
         "numpy",
         "pandas >= 1.3.5",