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Скачать или смотреть Resolving the No module named 'torch' Error in Python with PyTorch Installation

  • vlogize
  • 2025-07-30
  • 25
Resolving the No module named 'torch' Error in Python with PyTorch Installation
No module named 'torch'pythonpytorch
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Описание к видео Resolving the No module named 'torch' Error in Python with PyTorch Installation

Learn how to fix the `No module named 'torch'` error after installing PyTorch and ensure you're working in the correct conda environment!
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This video is based on the question https://stackoverflow.com/q/67911289/ asked by the user 'Eylul Mood' ( https://stackoverflow.com/u/16179479/ ) and on the answer https://stackoverflow.com/a/67917800/ provided by the user 'Soroush' ( https://stackoverflow.com/u/13607905/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: No module named 'torch'

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The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

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How to Fix the No module named 'torch' Error in Python

Are you encountering the frustrating error message: ModuleNotFoundError: No module named 'torch'? You're not alone! This message often appears during Python development, especially when working with deep learning libraries like PyTorch. This guide will guide you through understanding this error and provide you with a clear, step-by-step solution to resolve it. Let’s dive in!

Understanding the Problem

The error message No module named 'torch' indicates that Python cannot find the PyTorch library in your current environment. This can happen for several reasons, including:

PyTorch may not be installed in your environment.

You might be working in the wrong conda environment where PyTorch is not available.

There could be conflicting Python installations on your system.

In your case, it sounds like you’ve already attempted to install PyTorch using the following command:

[[See Video to Reveal this Text or Code Snippet]]

However, simply installing the package is not always enough if you are not in the correct environment where this package is installed. Let’s look at the solution to ensure everything is set up properly.

Step-by-Step Solution

1. Check Your Conda Environments

First, you need to verify which conda environments you have and where PyTorch is installed. Open your command line interface (CLI) and run the following command:

[[See Video to Reveal this Text or Code Snippet]]

This command will display a list of all the conda environments on your system. Look for the environment where PyTorch was supposed to be installed. It may look like this:

[[See Video to Reveal this Text or Code Snippet]]

2. Activate the Correct Environment

Once you have located the environment that contains PyTorch, you need to switch to it. You can activate your desired environment using this command:

[[See Video to Reveal this Text or Code Snippet]]

Replace NAME_OF_YOUR_ENV with the actual name of the environment that has PyTorch installed. After activating it, your command line prompt should change to indicate that you are now in the specified environment.

3. Import PyTorch

With your environment activated, you can now try importing PyTorch again. Run your Python script or enter the Python shell by simply typing:

[[See Video to Reveal this Text or Code Snippet]]

Then try to import torch:

[[See Video to Reveal this Text or Code Snippet]]

If no error message appears, congratulations! You have successfully resolved the No module named 'torch' error.

Conclusion

To sum up, the No module named 'torch' error is typically due to working in the incorrect conda environment. By checking your environments and activating the one where PyTorch is installed, you can quickly resolve this issue and continue your development work without further hindrance.

If you continue to experience issues, double-check your installations or consider reinstalling PyTorch in the active environment. Happy coding!

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