UserWarning: Failed to initialize NumPy: module compiled against API version 0xf but this version of-CodePudding

(my2022) C:\Users\donhu>pip3 install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu113
Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/cu113
Requirement already satisfied: torch in d:\programdata\anaconda3\envs\my2022\lib\site-packages (1.10.2)
Collecting torchvision
  Downloading https://download.pytorch.org/whl/cu113/torchvision-0.12.0+cu113-cp310-cp310-win_amd64.whl (5.4 MB)
     |████████████████████████████████| 5.4 MB 1.1 MB/s
Collecting torchaudio
  Downloading https://download.pytorch.org/whl/cu113/torchaudio-0.11.0+cu113-cp310-cp310-win_amd64.whl (573 kB)
     |████████████████████████████████| 573 kB 6.4 MB/s
Requirement already satisfied: typing_extensions in d:\programdata\anaconda3\envs\my2022\lib\site-packages (from torch) (4.1.1)
Collecting torch
  Downloading https://download.pytorch.org/whl/cu113/torch-1.11.0+cu113-cp310-cp310-win_amd64.whl (2186.0 MB)
     |████████████████████████████████| 2186.0 MB 4.7 kB/s
Requirement already satisfied: numpy in d:\programdata\anaconda3\envs\my2022\lib\site-packages (from torchvision) (1.21.5)
Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in d:\programdata\anaconda3\envs\my2022\lib\site-packages (from torchvision) (9.0.1)
Requirement already satisfied: requests in d:\programdata\anaconda3\envs\my2022\lib\site-packages (from torchvision) (2.27.1)
Requirement already satisfied: urllib3<1.27,>=1.21.1 in d:\programdata\anaconda3\envs\my2022\lib\site-packages (from requests->torchvision) (1.26.8)
Requirement already satisfied: certifi>=2017.4.17 in d:\programdata\anaconda3\envs\my2022\lib\site-packages (from requests->torchvision) (2021.5.30)
Requirement already satisfied: idna<4,>=2.5 in d:\programdata\anaconda3\envs\my2022\lib\site-packages (from requests->torchvision) (3.3)
Requirement already satisfied: charset-normalizer~=2.0.0 in d:\programdata\anaconda3\envs\my2022\lib\site-packages (from requests->torchvision) (2.0.4)
Installing collected packages: torch, torchvision, torchaudio
  Attempting uninstall: torch
    Found existing installation: torch 1.10.2
    Uninstalling torch-1.10.2:
      Successfully uninstalled torch-1.10.2
Successfully installed torch-1.11.0 cu113 torchaudio-0.11.0 cu113 torchvision-0.12.0 cu113

(my2022) C:\Users\donhu>python
Python 3.10.4 | packaged by conda-forge | (main, Mar 30 2022, 08:38:02) [MSC v.1916 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import torch
D:\ProgramData\Anaconda3\envs\my2022\lib\site-packages\torch\_masked\__init__.py:223: UserWarning: Failed to initialize NumPy: module compiled against API version 0xf but this version of numpy is 0xe (Triggered internally at  ..\torch\csrc\utils\tensor_numpy.cpp:68.)
  example_input = torch.tensor([[-3, -2, -1], [0, 1, 2]])
>>> torch.FloatTensor([31, 1, 1989], [26, 8, 1987])
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
TypeError: new() received an invalid combination of arguments - got (list, list), but expected one of:
 * (*, torch.device device)
      didn't match because some of the arguments have invalid types: (list, list)
 * (torch.Storage storage)
 * (Tensor other)
 * (tuple of ints size, *, torch.device device)
 * (object data, *, torch.device device)

>>> torch.FloatTensor([[31, 1, 1989], [26, 8, 1987]])
tensor([[3.1000e 01, 1.0000e 00, 1.9890e 03],
        [2.6000e 01, 8.0000e 00, 1.9870e 03]])
>>> import torchtorch.FloatTensor([[31, 1, 1989], [26, 8, 1987]])
  File "<stdin>", line 1
    import torchtorch.FloatTensor([[31, 1, 1989], [26, 8, 1987]])
                                 ^
SyntaxError: invalid syntax
>>> import torchtorch.FloatTensor([[31, 1, 1989], [26, 8, 1987]])
  File "<stdin>", line 1
    import torchtorch.FloatTensor([[31, 1, 1989], [26, 8, 1987]])
                                 ^
SyntaxError: invalid syntax
>>> import torch
>>> torch.FloatTensor([[31, 1, 1989], [26, 8, 1987]])
tensor([[3.1000e 01, 1.0000e 00, 1.9890e 03],
        [2.6000e 01, 8.0000e 00, 1.9870e 03]])
>>> jupyter
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
NameError: name 'jupyter' is not defined
>>> notebook
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
NameError: name 'notebook' is not defined
>>> jupyter-notebook
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
NameError: name 'jupyter' is not defined
>>> exit()

(my2022) C:\Users\donhu>python -m notebook
[I 15:14:15.768 NotebookApp] The port 8888 is already in use, trying another port.
[I 15:14:15.769 NotebookApp] Serving notebooks from local directory: C:\Users\donhu
[I 15:14:15.770 NotebookApp] Jupyter Notebook 6.4.8 is running at:
[I 15:14:15.770 NotebookApp] http://localhost:8889/?token=a354cd600920030068b4020dfc955b40d721d0da3e749421
[I 15:14:15.770 NotebookApp]  or http://127.0.0.1:8889/?token=a354cd600920030068b4020dfc955b40d721d0da3e749421
[I 15:14:15.770 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
[C 15:14:15.828 NotebookApp]

    To access the notebook, open this file in a browser:
        file:///C:/Users/donhu/AppData/Roaming/jupyter/runtime/nbserver-14140-open.html
    Or copy and paste one of these URLs:
        http://localhost:8889/?token=a354cd600920030068b4020dfc955b40d721d0da3e749421
     or http://127.0.0.1:8889/?token=a354cd600920030068b4020dfc955b40d721d0da3e749421
[I 15:15:03.168 NotebookApp] 302 GET /?token=a354cd600920030068b4020dfc955b40d721d0da3e749421 (::1) 1.000000ms
[W 15:15:09.559 NotebookApp] Notebook Untitled.ipynb is not trusted
[I 15:15:09.849 NotebookApp] Kernel started: d123ea3f-ccd3-4d2c-8bb0-2265c8610c76, name: python3
[I 15:15:17.878 NotebookApp] Starting buffering for d123ea3f-ccd3-4d2c-8bb0-2265c8610c76:c8907cbab1e34c409557d30a3227e5a6
[W 15:15:20.088 NotebookApp] Notebook Untitled.ipynb is not trusted
[I 15:17:20.272 NotebookApp] Saving file at /Untitled.ipynb
[W 15:17:20.272 NotebookApp] Notebook Untitled.ipynb is not trusted

run

import torch
print(torch.__version__)

Error

1.11.0 cu113
D:\ProgramData\Anaconda3\envs\my2022\lib\site-packages\torch\_masked\__init__.py:223: UserWarning: Failed to initialize NumPy: module compiled against API version 0xf but this version of numpy is 0xe (Triggered internally at  ..\torch\csrc\utils\tensor_numpy.cpp:68.)
  example_input = torch.tensor([[-3, -2, -1], [0, 1, 2]])

How to fix it?

CodePudding user response：

The problem cause by

Use latest version of PyTorch (too new)
Use latest version of conda (No support NumPy what PyTorch 1.11.0 need), then run Python from conda's virtual environment.

Solution:

Download Python 3.10.4 at

CodePudding user response：

The NumPy version seems to cause the issue; therefore, upgrading NumPy can solve this. More specifically, you should upgrade NumPy from 1.21.X to 1.22.X.

Example:
```
pip install numpy --upgrade
```