How to resolve ModuleNotFoundError: No module named 'torch' error

The ModuleNotFoundError: No module named 'torch' error occurs when the Python interpreter cannot locate the torch module, even though you have installed it.

Here are a few solutions to resolve this error:

Check the installation

First, ensure that you have installed the torch correctly. Open a terminal or command prompt and run the following command to check if torch is listed among the installed packages:

pip list

If torch is not listed, reinstall it using the following command:

pip install torch

Verify the environment

Make sure that you run the code in the correct environment where torch is installed. Different environments, such as virtual or conda, may have separate installations. Check the list of installed packages in your environment by running pip list or conda list.

Verify the path

If PyTorch is installed in a non-standard location, then add the path to your environment. You can do this by adding the following lines of code to your Python file or module:

import sys
sys.path.append('/path/to/pytorch')

Replace /path/to/pytorch with the actual path to your PyTorch installation.

Check the Python version

Confirm that your Python version is compatible with torch. It is recommended to use Python 3.6 and above. To check your Python version, run the following command:

python --version

If you have an incompatible Python version, consider upgrading or creating a new environment with a compatible Python version.

Verify the installation method

When installing torch, make sure you are using the appropriate method. If you are using Anaconda, try installing torch via the following command instead of using pip:

conda install pytorch torchvision torchaudio -c pytorch

Installing through Anaconda helps ensure compatibility with other packages installed through Anaconda.

Virtual environments

If you're using virtual environments, verify that you have activated the correct environment before running your code. Activate the virtual environment using an appropriate command such as:

source venv/bin/activate # Linux/Mac
venv\Scripts\activate # Windows

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