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@@ -40,26 +40,10 @@ If you decide to use APT, you can run the following command to install it:
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sudo apt install python
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```
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> If you use [Anaconda](#anaconda) to install PyTorch, it will install a sandboxed version of Python that will be used for running PyTorch applications.
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### Package Manager
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{: #linux-package-manager}
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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.
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#### Anaconda
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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:
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```bash
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# The version of Anaconda may be different depending on when you are installing`
# and follow the prompts. The defaults are generally good.`
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```
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> You may have to open a new terminal or re-source your `~/.bashrc `to get access to the `conda` command.
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To install the PyTorch binaries, you will need to use the supported package manager: [pip](https://pypi.org/project/pip/).
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#### pip
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*Python 3*
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## Installation
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{: #linux-installation}
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### Anaconda
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{: #linux-anaconda}
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#### No CUDA/ROCm
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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.
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Then, run the command that is presented to you.
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#### With CUDA
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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.
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Then, run the command that is presented to you.
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#### With ROCm
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PyTorch via Anaconda is not supported on ROCm currently. Please use pip instead.
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### pip
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{: #linux-pip}
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### Prerequisites
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{: #linux-prerequisites-2}
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1. Install [Anaconda](#anaconda) or [Pip](#pip)
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1. Install [Pip](#pip)
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2. If you need to build PyTorch with GPU support
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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).
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b. for AMD GPUs, install [ROCm](https://rocm.docs.amd.com/), if your machine has a [ROCm-enabled GPU](https://rocm.docs.amd.com/)
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3. Follow the steps described here: [https://github.com/pytorch/pytorch#from-source](https://github.com/pytorch/pytorch#from-source)
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You can verify the installation as described [above](#linux-verification).
> If you use Anaconda to install PyTorch, it will install a sandboxed version of Python that will be used for running PyTorch applications.
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> If you decide to use Chocolatey, and haven't installed Chocolatey yet, ensure that you are running your command prompt as an administrator.
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### Package Manager
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{: #windows-package-manager}
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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.`
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#### Anaconda
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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.
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To install the PyTorch binaries, you will need to use the supported package manager: [pip](https://pypi.org/project/pip/).
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#### pip
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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.
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## Installation
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{: #windows-installation}
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### Anaconda
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{: #windows-anaconda}
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To install PyTorch with Anaconda, you will need to open an Anaconda prompt via `Start | Anaconda3 | Anaconda Prompt`.
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#### No CUDA
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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.
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Then, run the command that is presented to you.
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#### With CUDA
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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.
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Then, run the command that is presented to you.
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### pip
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{: #windows-pip}
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### Prerequisites
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{: #windows-prerequisites-2}
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1. Install [Anaconda](#anaconda)
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1. Install [pip](https://pypi.org/project/pip/)
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2. Install [CUDA](https://developer.nvidia.com/cuda-downloads), if your machine has a [CUDA-enabled GPU](https://developer.nvidia.com/cuda-gpus).
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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).
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4. Follow the steps described here: [https://github.com/pytorch/pytorch#from-source](https://github.com/pytorch/pytorch#from-source)
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