pytorch install ubuntu
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PyTorch is a popular open-source deep learning framework developed by Facebook. In this tutorial, we will guide you through the process of installing PyTorch on Ubuntu.
Conda is a package manager that simplifies the installation of Python libraries, including PyTorch. If you don’t have Conda installed, you can download and install Miniconda, a minimal Conda installer, by visiting the Miniconda website.
Follow the installation instructions for your system. Once Conda is installed, proceed to the next step.
Open a terminal and create a new Conda environment for PyTorch. Replace myenv with your preferred environment name and specify the Python version (e.g., 3.8):
Activate the environment:
Now, let’s install PyTorch using Conda. Visit the PyTorch website to get the specific installation command for your system. For example, to install PyTorch with CUDA support for CUDA 11.1 and Python 3.8, use:
This command installs the PyTorch library, torchvision (for computer vision tasks), torchaudio (for audio processing), and the specified CUDA toolkit version.
After the installation is complete, you can verify it by running a simple Python script in your Conda environment. Create a file named verify_pytorch_installation.py with the following content:
Run the script:
This script prints the PyTorch version and whether CUDA (GPU support) is available. If everything is set up correctly, you should see the version information and CUDA availability.
Congratulations! You have successfully installed PyTorch on your Ubuntu system.
In this tutorial, we covered the steps to install PyTorch on Ubuntu using Conda. You can now start building and training deep learning models with PyTorch. If you encounter any issues or need additional information, refer to the official PyTorch documentation for troubleshooting and advanced configurations.
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