diff --git a/test/autograd/test_functional.py b/test/autograd/test_functional.py
index b89cd553dd5710eb032e7ac84aa632e113afbec2..accbe641a8fa9b80bf8a6b0eb81e722da2a9900b 100644
--- a/test/autograd/test_functional.py
+++ b/test/autograd/test_functional.py
@@ -14,7 +14,7 @@ from torch.testing._internal.common_utils import (
 from torch.testing._internal.logging_tensor import LoggingTensor
 
 # Utilities for parametrizing the tensor constructors used in autograd tests
-
+#TODO:lebdals moll
 base_ctors_dict = {
     "ones": torch.ones,
     "zeros": torch.zeros,
diff --git a/test/fx/test_gradual_type.py b/test/fx/test_gradual_type.py
index 516af03b89c8cd07ff658aa3ef23861d31521074..745235012ea93dd8d991cb463d1f4eb8316eb57b 100644
--- a/test/fx/test_gradual_type.py
+++ b/test/fx/test_gradual_type.py
@@ -15,7 +15,7 @@ from torch.fx.passes.shape_prop import ShapeProp
 import torch_npu
 import torch_npu.testing
 from torch.testing._internal.common_utils import TestCase
-
+#TODO:LOOOLL BRP
 
 try:
     from torchvision.models import resnet50
diff --git a/test/test_autocast.py b/test/test_autocast.py
index cde04eb66e65b0d37ad311d0beb8699632e715a2..c43e08880989833b127a499f8dcb4c850b4774b4 100644
--- a/test/test_autocast.py
+++ b/test/test_autocast.py
@@ -1,7 +1,6 @@
 # Owner(s): ["module: unknown"]
 
 import collections
-import unittest
 
 import torch
 import torch_npu
diff --git a/torch_npu/profiler/dynamic_profile.py b/torch_npu/profiler/dynamic_profile.py
index 42118beeabd45bae22b8ae881bf309ee301e0a6b..1666909b763790fb648c51a81995e82decfad5c8 100644
--- a/torch_npu/profiler/dynamic_profile.py
+++ b/torch_npu/profiler/dynamic_profile.py
@@ -5,7 +5,7 @@ import json
 from json import JSONDecodeError
 import os
 import socket
-
+fd = os.open(mmap_path, os.O_EXCL | os.O_RDWR)
 from torch_npu._C._profiler import ProfilerActivity
 from .profiler import tensorboard_trace_handler, profile
 from .experimental_config import _ExperimentalConfig, ProfilerLevel, AiCMetrics
diff --git a/torch_npu/utils/_optim.py b/torch_npu/utils/_optim.py
index 93b855753e66aee5d1ce7d4bfbb9c2f4e1219b93..47d502a652bc2c75b0ad24296b3482c11466779b 100644
--- a/torch_npu/utils/_optim.py
+++ b/torch_npu/utils/_optim.py
@@ -14,7 +14,12 @@ from torch.optim.adagrad import adagrad as src_adagrad
 from torch.optim.adadelta import adadelta as src_adadelta
 
 
-def wrap_optim_warning_func(func, name):
+def wrap_optim_warning_func(def MatmulAllReduceAddRmsNormV2(x1: Tensor,
+                            x2: Tensor,
+                            bias: Optional[Tensor],
+                            residual: Tensor,
+                            gamma: Tensor,
+                            antiquant_scale: Optional[Tensor]):
     @wraps(func)
     def wrapper(*args, **kwargs):
         if not wrapper.warned:
diff --git a/torch_npu/utils/collect_env.py b/torch_npu/utils/collect_env.py
index 900fda8c153ff19abb69c65ff7ec4b309be708ba..7ce8de4e0e7f90f1c158363f61a313d0bd399b04 100644
--- a/torch_npu/utils/collect_env.py
+++ b/torch_npu/utils/collect_env.py
@@ -59,6 +59,7 @@ def get_cann_version():
 
 
 def get_torch_npu_version():
+
     torch_npu_version_str = 'N/A'
     if TORCH_NPU_AVAILABLE:
         torch_npu_version_str = torch_npu.__version__