Modulenotfounderror no module named torch [SOLVED]

In this article, we will discuss the solutions on how to solve the modulenotfounderror: no module named ‘torch’ error which is encountered of programmers who are new to python programming language.

Before we start we will discuss first if what is Pytorch.

What is a Pytorch?

The Pytorch is a profound learning library which is compatible with different hardware configurations like Central Processing Unit(CPU) and also the CUDA-supported GPUs. The installation procedure of Pytorch is somewhat different for multiple hardware configurations.

Why the modulenotfounderror: no module named torch occur?

The ModuleNotFoundError: No module named torch error usually occurs if you trying to import the torch module, yet it is not installed on your python library or the python interpreter cannot find the installed torch modules in your system.

What are the cause of error no module named torch?

The “no module named torch” error usually occurs when the Python interpreter cannot find the PyTorch package/module in your PYTHONPATH environment.

Here are the multiple reasons which are possible causes for this error:

1. PyTorch is not installed:

When the PyTorch is not installed in your Python environment, you cannot import it. You can install PyTorch module using pip or conda.

2. Incorrect installation path:

When the PyTorch is installed yet the installation path is not added to the correct PYTHONPATH environment variable, then the Python interpreter unable to find it. Make sure that the installation path is added to the PYTHONPATH environment correctly.

3. Incorrect Python version:

The PyTorch requires an exact version of Python to be installed. Make sure that you are using the correct version of Python.

4. Virtual environment issue:

When you are using a virtual environment and PyTorch is installed outside the environment, first you must need to activate the virtual environment or you must installed PyTorch within the path of virtual environment.

3. Name conflict:

When you have another module with the same name as PyTorch, it will cause a conflict and it will block the PyTorch from being imported. You will make sure that there are no naming conflicts in your environment.

4. Incorrect Spelling

You need to check the correct spelling of your module name “torch” in your import statement, so that you can avoid the “no module named torch” error.

How to solve the error modulenotfounderror: no module named torch?

To solve the error modulenotfounderror: no module named torch you can follow the steps below:

For Windows Installation

Step 1: Check if the torch is installed

You can check if the torch is installed on your computer through running the following command in your terminal windows, PowerShell or command prompt:

pip show torch

After you run the command above, if the result will be like this below it means the torch module is not installed on your system.

show torch Modulenotfounderror no module named torch

So that you need to proceed to the next solutions.

Step 2: Install torch package

Based on step 1 the result shows that the package is not installed, For that, you will install the “Torch” package using pip manager through running the following command:

pip install torch

After you run the command above, it will install the torch package library

install torch Modulenotfounderror no module named torch

If you are using Python 3, you can use pip3 command instead of pip.

pip3 install torch

Step 3: Check the Pip if Torch is installed

When the torch is already installed, then make sure you are executing your code in the same environment where torch is installed. You can check the installed packages in your environment with the use of the following command:

pip show torch

If you run the command above if it is installed it will show the following information such as name, version, summary, author and location, etc.

Check if pip installed Modulenotfounderror no module named torch

If the error still continues, you can proceed to the next step which Uninstalling and Reinstalling torch.

Step 4: Uninstalling and Reinstalling torch

If the error still persists, try to uninstall and reinstall the torch module with the use of the following commands:

pip uninstall torch

After you run the command above it will uninstall or remove the torch module in your system then the message will appear like this Successfully uninstalled torch-1.13.1

uninstall torch Modulenotfounderror no module named torch

For Anaconda Installation

If you are using Anaconda, you can use the following command to install the torch package in your anaconda prompt:

conda install pytorch torchvision torchaudio -c pytorch

If you run the command above it is installed it will show the following information

Anaconda Install Modulenotfounderror no module named torch

For Ubuntu Installation

If you are using Ubuntu, you can use the following command to install the torch package in your ubuntu terminal:

sudo apt install torch

For Jupyter Notebook Installation

If you are using Jupyter Notebook, you can use the following command to install the torch package in your Jupyter Notebook terminal:

!pip install torch

you run the command above it is installed it will show the following information

Conclusion

To conclude, we already discuss the solutions to solve the error Modulenotfounderror no module named torch in different platform such as Windows, Ubuntu, Anaconda, and Jupyter Notebook

Related Python Tutorials

Root causes of Modulenotfounderror no module named torch [SOLVED]

  • Package not installed. The module you’re importing was never installed in the current environment. Fix: pip install <package-name>.
  • Wrong virtual environment active. You installed in one venv but running from a different environment. Verify with which python and which pip.
  • Multiple Python versions. pip installs for one Python, but you’re running a different version. Use python -m pip install <package> to force it.
  • Typo in module name. Case-sensitive imports. Beautiful_Soup vs beautifulsoup4 vs bs4. Check the actual import name in the package docs.
  • Package uninstalled or corrupted. Try pip install –force-reinstall <package> to freshen the install.

Step-by-step debugging

  1. Verify Python path. import sys; print(sys.executable) shows which Python is running.
  2. Check installed packages. pip list | grep <package> confirms it’s actually installed.
  3. Match environment. Confirm the terminal that ran pip install is the same environment your code runs in.
  4. Reinstall cleanly. pip uninstall <package> then pip install <package>.
  5. Try python -m install. python -m pip install <package> avoids PATH mismatches.

Working install pattern

# Create fresh environment (recommended for any new project)
python -m venv myenv
source myenv/bin/activate  # Windows: myenv\Scripts\activate

# Install requirements
pip install --upgrade pip
pip install <package-you-need>

# Verify install
pip list | grep <package>
python -c "import <package>; print(<package>.__version__)"

When the error persists

  • Check for typos. Module names can differ from PyPI names (opencv-python vs cv2, beautifulsoup4 vs bs4).
  • Update Python or downgrade the package. Some packages have version-specific compatibility.
  • Restart the interpreter or kernel. Jupyter and IDEs cache import state.
  • Check for conda/pip conflicts. If using Anaconda, prefer conda install <package> over pip.

Frequently Asked Questions

What Python version does this tutorial target?
This tutorial targets Python 3.10 or higher. Most examples work on 3.8+, but newer features (match statements, pipe union types, structural pattern matching) need 3.10+. For deep learning content, Python 3.11 is recommended for best performance.
How do I install Python for this tutorial?
Download Python 3.11 or higher from python.org. On Windows, tick ‘Add to PATH’ during install. On Mac use Homebrew (brew install python). On Linux use your package manager or pyenv for version management.
Do I need pip and virtual environments?
Yes. pip comes with Python. For any project beyond a single script, create a virtual environment: python -m venv venv, then activate and pip install dependencies. This keeps project libraries isolated.
Can I use this in a Jupyter notebook or Google Colab?
Most examples run in both. Colab is great for ML tutorials since it provides free GPU access. Jupyter is better for local iterative development. Just paste the code into a cell and run.
Where can I find more Python practice projects?
Browse itsourcecode.com Python Projects for 250+ free capstone-ready systems (sentiment analysis, image classification, chatbots, LangChain apps). Each includes full source code, dataset links, and installation instructions.

Adones Evangelista


Programmer & Technical Writer at PIES IT Solution

Adones Evangelista is a programmer and writer at PIES IT Solution, author of over 900 tutorials and error-fix guides at itsourcecode.com. Specializes in JavaScript, Django, Laravel, and Python error debugging covering ValueError, TypeError, AttributeError, ModuleNotFoundError, and RuntimeError, plus C/C++ and PHP capstone projects for BSIT students.

Expertise: JavaScript · Python · Django · Laravel · Error Debugging · C/C++
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