sudo apt install python

{: #linux-package-manager}

To install the PyTorch binaries, you will need to use one of two supported package managers:[Anaconda](https://www.anaconda.com/download/#linux) or[pip](https://pypi.org/project/pip/). Anaconda is the recommended package manager as it will provide you all of the PyTorch dependencies in one, sandboxed install, including Python.

To install Anaconda, you will use the[command-line installer](https://www.anaconda.com/download/#linux). Right-click on the 64-bit installer link, select`Copy Link Location`, and then use the following commands:

curl -O https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh

sh Miniconda3-latest-Linux-x86_64.sh

To install the PyTorch binaries, you will need to use the supported package manager:[pip](https://pypi.org/project/pip/).

*Python 3*

{: #linux-installation}

{: #linux-anaconda}

To install PyTorch via Anaconda, and do not have a[CUDA-capable](https://developer.nvidia.com/cuda-zone) or[ROCm-capable](https://rocm.docs.amd.com/) system or do not require CUDA/ROCm (i.e. GPU support), in the above selector, choose OS: Linux, Package: Conda, Language: Python and Compute Platform: CPU.

Then, run the command that is presented to you.

To install PyTorch via Anaconda, and you do have a[CUDA-capable](https://developer.nvidia.com/cuda-zone) system, in the above selector, choose OS: Linux, Package: Conda and the CUDA version suited to your machine. Often, the latest CUDA version is better.

Then, run the command that is presented to you.

PyTorch via Anaconda is not supported on ROCm currently. Please use pip instead.

{: #linux-pip}

{: #linux-prerequisites-2}

1. Install[Anaconda](#anaconda) or[Pip](#pip)

1. Install[Pip](#pip)

2. If you need to build PyTorch with GPU support

a. for NVIDIA GPUs, install[CUDA](https://developer.nvidia.com/cuda-downloads), if your machine has a[CUDA-enabled GPU](https://developer.nvidia.com/cuda-gpus).

b. for AMD GPUs, install[ROCm](https://rocm.docs.amd.com/), if your machine has a[ROCm-enabled GPU](https://rocm.docs.amd.com/)

{:.no_toc}

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

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

{: #mac-prerequisites}

{: #mac-python}

It is recommended that you use Python 3.9 - 3.12.

You can install Python either through the Anaconda

package manager (see[below](#anaconda)),[Homebrew](https://brew.sh/), or

You can install Python either through[Homebrew](https://brew.sh/) or

the[Python website](https://www.python.org/downloads/mac-osx/).

{: #mac-package-manager}

To install the PyTorch binaries, you will need to use one of two supported package managers:[pip](https://pypi.org/project/pip/) or[Anaconda](https://www.anaconda.com/download/#macos).

To install Anaconda, you can[download graphical installer](https://www.anaconda.com/download/#macos) or use the command-line installer. 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 Mac computer with Apple silicon:

curl -O https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-arm64.sh

sh Miniconda3-latest-MacOSX-arm64.sh

To install the PyTorch binaries, you will need to use the supported package manager:[pip](https://pypi.org/project/pip/).

*Python 3*

{: #mac-installation}

{: #mac-anaconda}

To install PyTorch via Anaconda, use the following conda command:

conda install pytorch torchvision -c pytorch

{: #mac-pip}

To install PyTorch via pip, useone ofthe followingtwo commands, depending on your Python version:

To install PyTorch via pip, use the followingcommand, depending on your Python version:

{: #mac-prerequisites-2}

1.[Optional] Install[Anaconda](#anaconda)

1.[Optional] Install[pip](https://pypi.org/project/pip/)

2. Follow the steps described here:[https://github.com/pytorch/pytorch#from-source](https://github.com/pytorch/pytorch#from-source)

You can verify the installation as described[above](#mac-verification).

*[Chocolatey](https://chocolatey.org/)

*[Python website](https://www.python.org/downloads/windows/)

*[Anaconda](#anaconda)

{: #windows-package-manager}

To install the PyTorch binaries, you will need to use at least one of two supported package managers:[Anaconda](https://www.anaconda.com/download/#windows) and[pip](https://pypi.org/project/pip/). Anaconda is the recommended package manager as it will provide you all of the PyTorch dependencies in one, sandboxed install, including Python and`pip.`

To install Anaconda, you will use the[64-bit graphical installer](https://www.anaconda.com/download/#windows) for PyTorch 3.x. Click on the installer link and select`Run`. Anaconda will download and the installer prompt will be presented to you. The default options are generally sane.

To install the PyTorch binaries, you will need to use the supported package manager:[pip](https://pypi.org/project/pip/).

If you installed Python by any of the recommended ways[above](#windows-python),[pip](https://pypi.org/project/pip/) will have already been installed for you.

{: #windows-installation}

{: #windows-anaconda}

To install PyTorch with Anaconda, you will need to open an Anaconda prompt via`Start | Anaconda3 | Anaconda Prompt`.

To install PyTorch via Anaconda, and do not have a[CUDA-capable](https://developer.nvidia.com/cuda-zone) system or do not require CUDA, in the above selector, choose OS: Windows, Package: Conda and CUDA: None.

Then, run the command that is presented to you.

To install PyTorch via Anaconda, and you do have a[CUDA-capable](https://developer.nvidia.com/cuda-zone) system, in the above selector, choose OS: Windows, Package: Conda and the CUDA version suited to your machine. Often, the latest CUDA version is better.

Then, run the command that is presented to you.

{: #windows-pip}

{: #windows-prerequisites-2}

1. Install[Anaconda](#anaconda)

1. Install[pip](https://pypi.org/project/pip/)

2. Install[CUDA](https://developer.nvidia.com/cuda-downloads), if your machine has a[CUDA-enabled GPU](https://developer.nvidia.com/cuda-gpus).

3. If you want to build on Windows, Visual Studio with MSVC toolset, and NVTX are also needed. The exact requirements of those dependencies could be found out[here](https://github.com/pytorch/pytorch#from-source).

4. Follow the steps described here:[https://github.com/pytorch/pytorch#from-source](https://github.com/pytorch/pytorch#from-source)