Nameerror: name ‘_c’ is not defined error occurs in PyTorch when the “Python interpreter cannot find the _C module when importing PyTorch.”
Common reasons for the error
- PyTorch library is not installed correctly.
- PyTorch library is installed in a directory not included in your Python path.
- There is a conflict with another module using the name _C.
- There is a bug in PyTorch itself.
- It’s possible (though less likely) that there is an internal issue with PyTorch or a particular version of PyTorch that you’re using.
- If you are using third-party libraries or extensions that integrate with PyTorch, they might be causing the error.
How to fix it?
The easiest way to fix the Nameerror: name ‘_c’ is not defined error is to install the pytorch library correctly:
pip install torch
If you still face the error, you need Cython for pytorch. To install Cython:
pip3 install Cython
# OR
python3 -m pip install Cython
These are alternate solutions to fix the error.
- Try updating PyTorch to the latest version.
- Try reinstalling PyTorch.
- If the PyTorch library is not included in your Python path, you can add it by editing your
PYTHONPATH
environment variable. Once you have fixed the error, you can import the PyTorch module _C without problems. - If PyTorch is installed correctly, ensure the PyTorch library is included in your Python path.
- If the PyTorch library is included in your Python path and you still get the error, try restarting your Python interpreter.
- If you use any other modules using the name _C, try disabling them and see if that resolves the issue.
- If you are still getting the error, PyTorch may have a bug. You can try reporting the issue to the PyTorch developers.
I hope these solutions will fix the error.

Krunal Lathiya is a seasoned Computer Science expert with over eight years in the tech industry. He boasts deep knowledge in Data Science and Machine Learning. Versed in Python, JavaScript, PHP, R, and Golang. Skilled in frameworks like Angular and React and platforms such as Node.js. His expertise spans both front-end and back-end development. His proficiency in the Machine Learning frameworks like PyTorch and Tensorflow is a testament to his versatility and commitment to the craft.