install pytorch anaconda linux

January 6, 2024

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PyTorch is a popular open-source machine learning library developed by Facebook’s AI Research lab (FAIR). It provides a flexible and dynamic computational graph, making it suitable for various deep learning tasks. Anaconda is a powerful package manager and environment manager for Python that simplifies the process of managing dependencies and creating virtual environments. This tutorial will guide you through the process of installing PyTorch using Anaconda on a Linux system.
If you haven’t installed Anaconda on your Linux system, you can download the installer from the official Anaconda website: https://www.anaconda.com/products/distribution
Follow the installation instructions provided on the website.
Once Anaconda is installed, open a terminal and create a new conda environment. In this example, we’ll name the environment “pytorch_env,” but you can choose any name you prefer.
Activate the environment:
Now that the conda environment is activated, you can install PyTorch and torchvision using the following command:
This command installs PyTorch, torchvision, and torchaudio, along with the appropriate version of the CUDA toolkit for GPU support. If you don’t have a GPU or prefer to use the CPU, you can omit the cudatoolkit option.
To verify that PyTorch has been installed successfully, open a Python interpreter within the conda environment and import the library:
If everything is installed correctly, you should see the version of PyTorch printed without any errors.
Create a simple Python script to test PyTorch functionality:
Run the script:
If you see the tensor and device information without errors, PyTorch is working correctly in your conda environment.
Congratulations! You have successfully installed PyTorch with Anaconda on your Linux system. You are now ready to start building and training your machine learning models using PyTorch.
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