diff --git a/PyTorch/contrib/cv/others/ADNet/test.py b/PyTorch/contrib/cv/others/ADNet/test.py
index 9dc6d4283947a683c6a9958a82aaa53c348f0d7a..ec765c266cf4b4542ab94d39a252304589835922 100644
--- a/PyTorch/contrib/cv/others/ADNet/test.py
+++ b/PyTorch/contrib/cv/others/ADNet/test.py
@@ -24,7 +24,7 @@ from models import ADNet
 from utils import *
 from collections import OrderedDict
 import torch.distributed as dist
-if torch.__version__ >= '1.8.1':
+if torch.__version__ >= '1.8':
     import torch_npu
 
 parser = argparse.ArgumentParser(description="ADNet_Test")
diff --git a/PyTorch/contrib/cv/others/ADNet/train.py b/PyTorch/contrib/cv/others/ADNet/train.py
index aa9feb2b96a916d942eb665cd04ca865705264f6..c67ca1d4c0ce136f73be8b07fdca0b78e89f9117 100644
--- a/PyTorch/contrib/cv/others/ADNet/train.py
+++ b/PyTorch/contrib/cv/others/ADNet/train.py
@@ -31,7 +31,7 @@ from models import ADNet
 from dataset import prepare_data, Dataset
 from collections import OrderedDict
 from utils import *
-if torch.__version__ >= '1.8.1':
+if torch.__version__ >= '1.8':
     import torch_npu
 
 parser = argparse.ArgumentParser(description="DnCNN")
diff --git a/PyTorch/contrib/cv/others/GAN_Pytorch/main.py b/PyTorch/contrib/cv/others/GAN_Pytorch/main.py
index 456824a1dfede5863828d300b175fed09e0f878d..3b1a36b70be4fd30494961056d53d998b46d8cc4 100644
--- a/PyTorch/contrib/cv/others/GAN_Pytorch/main.py
+++ b/PyTorch/contrib/cv/others/GAN_Pytorch/main.py
@@ -13,7 +13,7 @@
 # limitations under the License.
 # ============================================================================
 import torch
-if torch.version>="1.8.0":
+if torch.version>="1.8":
     try:
         import torch_npu
     except:
diff --git a/PyTorch/contrib/cv/others/SRGAN/test_benchmark.py b/PyTorch/contrib/cv/others/SRGAN/test_benchmark.py
index 66e1ea9f6cc8ecc9d9cad08bfb5f54a876c3bca8..d03ca4949a06dfe29f1ac8d3ba80c0075de8da4b 100644
--- a/PyTorch/contrib/cv/others/SRGAN/test_benchmark.py
+++ b/PyTorch/contrib/cv/others/SRGAN/test_benchmark.py
@@ -19,7 +19,7 @@ from math import log10
 
 import numpy as np
 import torch
-if torch.__version__>= "1.8.1":
+if torch.__version__>= "1.8":
     print("import torch_npu")
     import torch_npu
 import torchvision.utils as utils
diff --git a/PyTorch/contrib/cv/others/SRGAN/train1p.py b/PyTorch/contrib/cv/others/SRGAN/train1p.py
index 5dd49122ffd6130bda1694b0f37ec4eeda772800..b7bcb51bc2bc5dfbbe5f1c475fde673881128afc 100644
--- a/PyTorch/contrib/cv/others/SRGAN/train1p.py
+++ b/PyTorch/contrib/cv/others/SRGAN/train1p.py
@@ -18,7 +18,7 @@ import os
 from math import log10
 import time
 import torch
-if torch.__version__>= "1.8.1":
+if torch.__version__>= "1.8":
     print("import torch_npu")
     import torch_npu
 
diff --git a/PyTorch/contrib/cv/others/SRGAN/train8p.py b/PyTorch/contrib/cv/others/SRGAN/train8p.py
index 123dd647e964775788acd6bd9dbe929cd4bce87c..7e90aecf3395119b339f1d76595473f1462bfb53 100644
--- a/PyTorch/contrib/cv/others/SRGAN/train8p.py
+++ b/PyTorch/contrib/cv/others/SRGAN/train8p.py
@@ -23,7 +23,7 @@ import tempfile
 import math
 
 import torch
-if torch.__version__>= "1.8.1":
+if torch.__version__>= "1.8":
     #print("import torch_npu")
     import torch_npu
 import torch.nn.parallel
diff --git a/PyTorch/contrib/cv/others/Srcnn_x2_for_Pytorch/train.py b/PyTorch/contrib/cv/others/Srcnn_x2_for_Pytorch/train.py
index a9c89e5b3f3e3eb1cd66d306e4ba8307f86932fa..bb53ee94234ad4ae2610cb39ec91d12ec8ad5084 100644
--- a/PyTorch/contrib/cv/others/Srcnn_x2_for_Pytorch/train.py
+++ b/PyTorch/contrib/cv/others/Srcnn_x2_for_Pytorch/train.py
@@ -27,7 +27,7 @@ import torch.backends.cudnn as cudnn
 from torch.utils.data.dataloader import DataLoader
 from skimage.metrics import peak_signal_noise_ratio
 
-if torch.__version__ >= '1.8.1':
+if torch.__version__ >= '1.8':
     import torch_npu
 import torch.npu
 import random
diff --git a/PyTorch/contrib/cv/others/Super-Resolution_CNN_ID3003_for_Pytorch/train.py b/PyTorch/contrib/cv/others/Super-Resolution_CNN_ID3003_for_Pytorch/train.py
index 019b11f3d9acbd46affb98f84f1b5ee255d63b4d..5b6f113c62c45dea5ece3bd18e941cecd47c2757 100644
--- a/PyTorch/contrib/cv/others/Super-Resolution_CNN_ID3003_for_Pytorch/train.py
+++ b/PyTorch/contrib/cv/others/Super-Resolution_CNN_ID3003_for_Pytorch/train.py
@@ -41,8 +41,8 @@ import os
 import copy
 
 import torch
-# if torch.__version__>= '1.8.1':
-#       import torch_npu
+if torch.__version__>= '1.8':
+       import torch_npu
 from torch import nn
 import torch.optim as optim
 import torch.backends.cudnn as cudnn
diff --git a/PyTorch/contrib/cv/others/edsr_x2/main.py b/PyTorch/contrib/cv/others/edsr_x2/main.py
index 2524d20a0ac868b17078b175fbb9c4109bc1f47f..7d0b138f173c6692eb83c0de99ac8a3b573fac31 100644
--- a/PyTorch/contrib/cv/others/edsr_x2/main.py
+++ b/PyTorch/contrib/cv/others/edsr_x2/main.py
@@ -30,7 +30,7 @@
 # OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
 # ============================================================================
 import torch
-if torch.__version__ >= "1.8.1":
+if torch.__version__ >= "1.8":
     import torch_npu
 import data
 import loss
diff --git a/PyTorch/contrib/cv/others/edsr_x2/main_8p.py b/PyTorch/contrib/cv/others/edsr_x2/main_8p.py
index e1b0a2063f2a9f4f31f12ff0a505d97a980802cf..93d45a8f67cbe000023bf6d163a3c6d46c8b0bac 100644
--- a/PyTorch/contrib/cv/others/edsr_x2/main_8p.py
+++ b/PyTorch/contrib/cv/others/edsr_x2/main_8p.py
@@ -37,7 +37,7 @@ from apex import amp
 from tqdm import tqdm
 
 import torch
-if torch.__version__ >= "1.8.1":
+if torch.__version__ >= "1.8":
     import torch_npu
 from torch import nn
 import torch.multiprocessing as mp
diff --git a/PyTorch/contrib/cv/pose_estimation/Lightweight_OpenPose/train.py b/PyTorch/contrib/cv/pose_estimation/Lightweight_OpenPose/train.py
index ff124c2acfe04b8177d46c95c7287b6f8d6eb43f..d9c9173cbfc7727979187d5fdc998166d51dcd84 100644
--- a/PyTorch/contrib/cv/pose_estimation/Lightweight_OpenPose/train.py
+++ b/PyTorch/contrib/cv/pose_estimation/Lightweight_OpenPose/train.py
@@ -18,7 +18,7 @@ import shutil
 import time
 import cv2
 import torch
-if torch.__version__ >= "1.8.1":
+if torch.__version__ >= "1.8":
     import torch_npu
 import torch.optim
 from torch.utils.data import DataLoader
diff --git a/PyTorch/contrib/cv/semantic_segmentation/PraNet/Test.py b/PyTorch/contrib/cv/semantic_segmentation/PraNet/Test.py
index bda6648a159c478ee7c349bc4cf7be0d2b3c3e90..b01acef486a85cdb9b907e1957a29f3a5848866a 100644
--- a/PyTorch/contrib/cv/semantic_segmentation/PraNet/Test.py
+++ b/PyTorch/contrib/cv/semantic_segmentation/PraNet/Test.py
@@ -13,7 +13,7 @@
 # limitations under the License.
 # ============================================================================
 import torch
-if torch.__version__ >= "1.8.1":
+if torch.__version__ >= "1.8":
     import torch_npu
 import torch.nn.functional as F
 import numpy as np
diff --git a/PyTorch/contrib/cv/semantic_segmentation/PraNet/Train.py b/PyTorch/contrib/cv/semantic_segmentation/PraNet/Train.py
index 22b3584f8e018c0f9c3a8b1f5cf918bfaae0eca8..db50d47452f53561b245f1d00fe33a365548d7f4 100644
--- a/PyTorch/contrib/cv/semantic_segmentation/PraNet/Train.py
+++ b/PyTorch/contrib/cv/semantic_segmentation/PraNet/Train.py
@@ -13,7 +13,7 @@
 # limitations under the License.
 # ============================================================================
 import torch
-if torch.__version__ >= "1.8.1":
+if torch.__version__ >= "1.8":
     import torch_npu
 from torch.autograd import Variable
 import os
diff --git a/PyTorch/contrib/cv/semantic_segmentation/PraNet/lib/PraNet_Res2Net.py b/PyTorch/contrib/cv/semantic_segmentation/PraNet/lib/PraNet_Res2Net.py
index bd17035fa834e6fd3b550f2232746a256aedebde..7fcfcc6a937db5230aa7f9fdfc50c6e57db2b8b8 100644
--- a/PyTorch/contrib/cv/semantic_segmentation/PraNet/lib/PraNet_Res2Net.py
+++ b/PyTorch/contrib/cv/semantic_segmentation/PraNet/lib/PraNet_Res2Net.py
@@ -16,7 +16,7 @@ import torch
 import torch.nn as nn
 import torch.nn.functional as F
 from .Res2Net_v1b import res2net50_v1b_26w_4s
-if torch.__version__ >= "1.8.1":
+if torch.__version__ >= "1.8":
     import torch_npu
 
 class BasicConv2d(nn.Module):
diff --git a/PyTorch/contrib/cv/semantic_segmentation/PraNet/lib/PraNet_ResNet.py b/PyTorch/contrib/cv/semantic_segmentation/PraNet/lib/PraNet_ResNet.py
index 8f0723c6c48aacc44240993d40f0a3ad5ba25116..be55533bfefe1233c1d0bc910e471ebc3a8dd82d 100644
--- a/PyTorch/contrib/cv/semantic_segmentation/PraNet/lib/PraNet_ResNet.py
+++ b/PyTorch/contrib/cv/semantic_segmentation/PraNet/lib/PraNet_ResNet.py
@@ -18,7 +18,7 @@ import torchvision.models as models
 import torch.nn.functional as F
 from .ResNet import ResNet
 import math
-if torch.__version__ >= "1.8.1":
+if torch.__version__ >= "1.8":
     import torch_npu
 
 class BasicConv2d(nn.Module):
diff --git a/PyTorch/contrib/cv/semantic_segmentation/PraNet/lib/Res2Net_v1b.py b/PyTorch/contrib/cv/semantic_segmentation/PraNet/lib/Res2Net_v1b.py
index 543bf1eb5b17e05e43cd094d75b0eb10557959c1..86ec6296ae13f5f6ffcba2a6459a1e8a59580b95 100644
--- a/PyTorch/contrib/cv/semantic_segmentation/PraNet/lib/Res2Net_v1b.py
+++ b/PyTorch/contrib/cv/semantic_segmentation/PraNet/lib/Res2Net_v1b.py
@@ -17,7 +17,7 @@ import math
 import torch.utils.model_zoo as model_zoo
 import torch
 import torch.nn.functional as F
-if torch.__version__ >= "1.8.1":
+if torch.__version__ >= "1.8":
     import torch_npu
     
 __all__ = ['Res2Net', 'res2net50_v1b', 'res2net101_v1b', 'res2net50_v1b_26w_4s']
diff --git a/PyTorch/contrib/cv/semantic_segmentation/PraNet/utils/utils.py b/PyTorch/contrib/cv/semantic_segmentation/PraNet/utils/utils.py
index f019b6ab74146c97a5b595f3b2de7cb3b4eebd6f..4abacc79e57831ba9da737ed58ddee9eb997990b 100644
--- a/PyTorch/contrib/cv/semantic_segmentation/PraNet/utils/utils.py
+++ b/PyTorch/contrib/cv/semantic_segmentation/PraNet/utils/utils.py
@@ -16,7 +16,7 @@ import torch
 import numpy as np
 from thop import profile
 from thop import clever_format
-if torch.__version__ >= "1.8.1":
+if torch.__version__ >= "1.8":
     import torch_npu
 
 def clip_gradient(optimizer, grad_clip):
diff --git a/PyTorch/contrib/cv/semantic_segmentation/RefineNet/models/refinenet.py b/PyTorch/contrib/cv/semantic_segmentation/RefineNet/models/refinenet.py
index ed42ccbde9a4d6f6f8ffbc4a129c5bd668b4e256..0316856d994ef8a2b8df9dac0b172d8de6e29436 100644
--- a/PyTorch/contrib/cv/semantic_segmentation/RefineNet/models/refinenet.py
+++ b/PyTorch/contrib/cv/semantic_segmentation/RefineNet/models/refinenet.py
@@ -15,7 +15,7 @@
 import torch.nn as nn
 import torch.nn.functional as F
 import torch
-if torch.__version__ >= "1.8.1":
+if torch.__version__ >= "1.8":
     import torch_npu
 
 import numpy as np
diff --git a/PyTorch/contrib/cv/semantic_segmentation/RefineNet/src/data.py b/PyTorch/contrib/cv/semantic_segmentation/RefineNet/src/data.py
index fce5339eb68e84ee5fa87314433a573050d2a2fe..a9c33ebb6363f248c9393beac9255b92a975c86b 100644
--- a/PyTorch/contrib/cv/semantic_segmentation/RefineNet/src/data.py
+++ b/PyTorch/contrib/cv/semantic_segmentation/RefineNet/src/data.py
@@ -15,7 +15,7 @@
 import cv2
 import numpy as np
 import torch
-if torch.__version__ >= "1.8.1":
+if torch.__version__ >= "1.8":
     import torch_npu
 import densetorch as dt
 from albumentations import Compose
diff --git a/PyTorch/contrib/cv/semantic_segmentation/RefineNet/src/load_dataset.py b/PyTorch/contrib/cv/semantic_segmentation/RefineNet/src/load_dataset.py
index 1cbed9c2237f21ad9d74a08aa4ec0d7c551332fd..4e8e33582ea14a991986a7b89bf893e24850c0e9 100644
--- a/PyTorch/contrib/cv/semantic_segmentation/RefineNet/src/load_dataset.py
+++ b/PyTorch/contrib/cv/semantic_segmentation/RefineNet/src/load_dataset.py
@@ -24,7 +24,7 @@ import numpy as np
 
 # pytorch libs
 import torch
-if torch.__version__ >= "1.8.1":
+if torch.__version__ >= "1.8":
     import torch_npu
 import torch.nn as nn
 import torch.nn.functional as F
diff --git a/PyTorch/contrib/cv/semantic_segmentation/RefineNet/src/optimisers.py b/PyTorch/contrib/cv/semantic_segmentation/RefineNet/src/optimisers.py
index ffd4e4179c745a62846a7e9a3121bf480cbd84ca..d5b059744403e5ab2c7d3c9a2247ddeebc10a552 100644
--- a/PyTorch/contrib/cv/semantic_segmentation/RefineNet/src/optimisers.py
+++ b/PyTorch/contrib/cv/semantic_segmentation/RefineNet/src/optimisers.py
@@ -14,7 +14,7 @@
 # ============================================================================
 import numpy as np
 import torch
-if torch.__version__ >= "1.8.1":
+if torch.__version__ >= "1.8":
     import torch_npu
 import densetorch as dt
 
diff --git a/PyTorch/contrib/cv/semantic_segmentation/RefineNet/src/train.py b/PyTorch/contrib/cv/semantic_segmentation/RefineNet/src/train.py
index dfea0058b7993d12bc7e43d2055f0ee1a988dfff..dbbb411b54c3d3a595ed8c0369cd66bc8d8c83a7 100644
--- a/PyTorch/contrib/cv/semantic_segmentation/RefineNet/src/train.py
+++ b/PyTorch/contrib/cv/semantic_segmentation/RefineNet/src/train.py
@@ -24,7 +24,7 @@ import numpy as np
 
 # pytorch libs
 import torch
-if torch.__version__ >= "1.8.1":
+if torch.__version__ >= "1.8":
     import torch_npu
     import ctypes
     libgcc_s = ctypes.CDLL("libgcc_s.so.1")
diff --git a/PyTorch/contrib/cv/semantic_segmentation/Ultra-Fast-Lane-Detection/test.py b/PyTorch/contrib/cv/semantic_segmentation/Ultra-Fast-Lane-Detection/test.py
index 7e0b9815c8b34b175a7641089797a318ace76f17..fb7518cef630eb13b9842f477fbd1bdd8abaf8fd 100644
--- a/PyTorch/contrib/cv/semantic_segmentation/Ultra-Fast-Lane-Detection/test.py
+++ b/PyTorch/contrib/cv/semantic_segmentation/Ultra-Fast-Lane-Detection/test.py
@@ -14,7 +14,7 @@
 
 import sklearn  # sklearn一定要在torch前面import否则会报错
 import torch, os
-if torch.__version__ >= "1.8.1":
+if torch.__version__ >= "1.8":
     import torch_npu
 from model.model import parsingNet
 from utils.common import merge_config
diff --git a/PyTorch/contrib/cv/semantic_segmentation/Ultra-Fast-Lane-Detection/train.py b/PyTorch/contrib/cv/semantic_segmentation/Ultra-Fast-Lane-Detection/train.py
index db365cccf43d516cbf1b0ad1712d0eb6fc0ca701..f31511bf762d6f374d48c17bf66e3fcb5612b2fd 100644
--- a/PyTorch/contrib/cv/semantic_segmentation/Ultra-Fast-Lane-Detection/train.py
+++ b/PyTorch/contrib/cv/semantic_segmentation/Ultra-Fast-Lane-Detection/train.py
@@ -15,7 +15,7 @@
 print("+-" * 50)
 import torch, os, datetime
 
-if torch.__version__ >= "1.8.1":
+if torch.__version__ >= "1.8":
     import torch_npu
 import numpy as np
 
diff --git a/PyTorch/contrib/nlp/TextCNN/run.py b/PyTorch/contrib/nlp/TextCNN/run.py
index b3166f3623489d7222a61fab89ba474741bc8d6e..797b3b3206b21b56bf97505375db3c854566d48e 100644
--- a/PyTorch/contrib/nlp/TextCNN/run.py
+++ b/PyTorch/contrib/nlp/TextCNN/run.py
@@ -23,7 +23,7 @@ import os
 from apex import amp
 import apex
 
-if torch.__version__ >= '1.8.1':
+if torch.__version__ >= '1.8':
     import torch_npu
     
 parser = argparse.ArgumentParser(description='Chinese Text Classification')
diff --git a/PyTorch/contrib/nlp/albert/run_classifier.py b/PyTorch/contrib/nlp/albert/run_classifier.py
index 86d24e4f7edefded5b36398f4ccd414d071c6c87..426d7206021a858aef775c0ab10d28d56a752637 100644
--- a/PyTorch/contrib/nlp/albert/run_classifier.py
+++ b/PyTorch/contrib/nlp/albert/run_classifier.py
@@ -24,7 +24,7 @@ import glob
 import numpy as np
 import apex
 import torch
-if torch.__version__ >= "1.8.1":
+if torch.__version__ >= "1.8":
     import torch_npu
 from torch.utils.data import DataLoader, RandomSampler, SequentialSampler, TensorDataset
 from torch.utils.data.distributed import DistributedSampler
diff --git a/PyTorch/contrib/nlp/roberta/fairseq/distributed/utils.py b/PyTorch/contrib/nlp/roberta/fairseq/distributed/utils.py
index 3fb95ed686234629be98d4e1c777e579bf9298f6..1a14168095bbcff9560cc2a847d1e0832c4a34e3 100644
--- a/PyTorch/contrib/nlp/roberta/fairseq/distributed/utils.py
+++ b/PyTorch/contrib/nlp/roberta/fairseq/distributed/utils.py
@@ -28,7 +28,7 @@ from dataclasses import dataclass
 from typing import Any, Dict, List, Mapping, Optional
 
 import torch
-if torch.__version__ >= "1.8.1":
+if torch.__version__ >= "1.8":
     import torch_npu
 import torch.distributed as dist
 from fairseq.dataclass.configs import DistributedTrainingConfig, FairseqConfig
diff --git a/PyTorch/contrib/others/C51/deep_rl/utils/misc.py b/PyTorch/contrib/others/C51/deep_rl/utils/misc.py
index 4552db7573ad9ffa218fdb0edaaa634167405c9b..d6ba2010cd0374a394d65a3fda4dca371e6eb4eb 100644
--- a/PyTorch/contrib/others/C51/deep_rl/utils/misc.py
+++ b/PyTorch/contrib/others/C51/deep_rl/utils/misc.py
@@ -22,7 +22,7 @@ import pickle
 import os
 import datetime
 import torch
-if torch.__version__ >= "1.8.1":
+if torch.__version__ >= "1.8":
     import torch_npu
 import time
 from .torch_utils import *
diff --git a/PyTorch/contrib/others/C51/deep_rl/utils/torch_utils.py b/PyTorch/contrib/others/C51/deep_rl/utils/torch_utils.py
index a97fc200e0fb03962f805ae97dcc0c20c8e5eb5e..bf539ca8aabf449dae26ed8e983f633ed0051929 100644
--- a/PyTorch/contrib/others/C51/deep_rl/utils/torch_utils.py
+++ b/PyTorch/contrib/others/C51/deep_rl/utils/torch_utils.py
@@ -19,7 +19,7 @@
 
 from .config import *
 import torch
-if torch.__version__ >= "1.8.1":
+if torch.__version__ >= "1.8":
     import torch_npu
 import os