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The install instructions here will generally apply to all supported Linux distributions. PyTorch is supported on Linux distributions that use glibc >= v2.17, which include the following: Prerequisites Supported Linux Distributions It is recommended, but not required, that your Linux system has an NVIDIA or AMD GPU in order to harness the full power of PyTorch’s CUDA support or ROCm support. Depending on your system and compute requirements, your experience with PyTorch on Linux may vary in terms of processing time. PyTorch can be installed and used on various Linux distributions. If you use the command-line installer, you can right-click on the installer link, select Copy Link Address, or use the following commands on Intel Mac: To install Anaconda, you can download graphical installer or use the command-line installer.

Anaconda is the recommended package manager as it will provide you all of the PyTorch dependencies in one, sandboxed install, including Python. To install the PyTorch binaries, you will need to use one of two supported package managers: Anaconda or pip. In one of the upcoming PyTorch releases, support for Python 3.8 will be deprecated. Package manager (see below), Homebrew, or You can install Python either through the Anaconda It is recommended that you use Python 3.8 - 3.11. PyTorch is supported on macOS 10.15 (Catalina) or above.

Depending on your system and GPU capabilities, your experience with PyTorch on a Mac may vary in terms of processing time. PyTorch can be installed and used on macOS.

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