<code>import torch
import torch.nn as nn
import torch.optim as optim
import torchvision
</code>
<code>import torch
import torch.nn as nn
import torch.optim as optim
import torchvision
</code>
import torch
import torch.nn as nn
import torch.optim as optim
import torchvision
and getting following error
<code>---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
Cell In[8], line 4
2 import torch.nn as nn
3 import torch.optim as optim
----> 4 import torchvision
5 import torchvision.transforms as transforms
6 import matplotlib.pyplot as plt
File d:PythonCNN PyTorchvenvLibsite-packagestorchvision__init__.py:10
7 # Don't re-order these, we need to load the _C extension (done when importing
8 # .extensions) before entering _meta_registrations.
9 from .extension import _HAS_OPS # usort:skip
---> 10 from torchvision import _meta_registrations, datasets, io, models, ops, transforms, utils # usort:skip
12 try:
13 from .version import __version__ # noqa: F401
File d:PythonCNN PyTorchvenvLibsite-packagestorchvisionmodels__init__.py:2
1 from .alexnet import *
----> 2 from .convnext import *
3 from .densenet import *
4 from .efficientnet import *
File d:PythonCNN PyTorchvenvLibsite-packagestorchvisionmodelsconvnext.py:9
6 from torch.nn import functional as F
2213 import importlib
2214 return importlib.import_module(f".{name}", __name__)
-> 2216 raise AttributeError(f"module '{__name__}' has no attribute '{name}'")
AttributeError: module 'torch' has no attribute 'version'
</code>
<code>---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
Cell In[8], line 4
2 import torch.nn as nn
3 import torch.optim as optim
----> 4 import torchvision
5 import torchvision.transforms as transforms
6 import matplotlib.pyplot as plt
File d:PythonCNN PyTorchvenvLibsite-packagestorchvision__init__.py:10
7 # Don't re-order these, we need to load the _C extension (done when importing
8 # .extensions) before entering _meta_registrations.
9 from .extension import _HAS_OPS # usort:skip
---> 10 from torchvision import _meta_registrations, datasets, io, models, ops, transforms, utils # usort:skip
12 try:
13 from .version import __version__ # noqa: F401
File d:PythonCNN PyTorchvenvLibsite-packagestorchvisionmodels__init__.py:2
1 from .alexnet import *
----> 2 from .convnext import *
3 from .densenet import *
4 from .efficientnet import *
File d:PythonCNN PyTorchvenvLibsite-packagestorchvisionmodelsconvnext.py:9
6 from torch.nn import functional as F
2213 import importlib
2214 return importlib.import_module(f".{name}", __name__)
-> 2216 raise AttributeError(f"module '{__name__}' has no attribute '{name}'")
AttributeError: module 'torch' has no attribute 'version'
</code>
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
Cell In[8], line 4
2 import torch.nn as nn
3 import torch.optim as optim
----> 4 import torchvision
5 import torchvision.transforms as transforms
6 import matplotlib.pyplot as plt
File d:PythonCNN PyTorchvenvLibsite-packagestorchvision__init__.py:10
7 # Don't re-order these, we need to load the _C extension (done when importing
8 # .extensions) before entering _meta_registrations.
9 from .extension import _HAS_OPS # usort:skip
---> 10 from torchvision import _meta_registrations, datasets, io, models, ops, transforms, utils # usort:skip
12 try:
13 from .version import __version__ # noqa: F401
File d:PythonCNN PyTorchvenvLibsite-packagestorchvisionmodels__init__.py:2
1 from .alexnet import *
----> 2 from .convnext import *
3 from .densenet import *
4 from .efficientnet import *
File d:PythonCNN PyTorchvenvLibsite-packagestorchvisionmodelsconvnext.py:9
6 from torch.nn import functional as F
2213 import importlib
2214 return importlib.import_module(f".{name}", __name__)
-> 2216 raise AttributeError(f"module '{__name__}' has no attribute '{name}'")
AttributeError: module 'torch' has no attribute 'version'
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