remove conda references from markdown for install UI (#2010)

Camyll · svekars · web-flow · commit 5779c90cdfb1 · 2025-05-05T07:14:09.000-07:00
* remove conda references

* try and generate preview with change

* remove space now that preview is working

* change pip language to match # of commands

* Update _get_started/installation/mac.md

Co-authored-by: Svetlana Karslioglu &lt;svekars@meta.com&gt;

* Update _get_started/installation/mac.md

Co-authored-by: Svetlana Karslioglu &lt;svekars@meta.com&gt;

---------

Co-authored-by: Svetlana Karslioglu &lt;svekars@meta.com&gt;
diff --git a/_get_started/installation/linux.md b/_get_started/installation/linux.md
@@ -40,26 +40,10 @@ If you decide to use APT, you can run the following command to install it:
 sudo apt install python
 ```
 
-> If you use [Anaconda](#anaconda) to install PyTorch, it will install a sandboxed version of Python that will be used for running PyTorch applications.
-
 ### Package Manager
 {: #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.
-
-#### Anaconda
-
-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:
-
-```bash
-# The version of Anaconda may be different depending on when you are installing`
-curl -O https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh
-sh Miniconda3-latest-Linux-x86_64.sh
-# and follow the prompts. The defaults are generally good.`
-```
-
-> You may have to open a new terminal or re-source your `~/.bashrc `to get access to the `conda` command.
-
+To install the PyTorch binaries, you will need to use the supported package manager: [pip](https://pypi.org/project/pip/).
 #### pip
 
 *Python 3*
@@ -75,24 +59,6 @@ sudo apt install python3-pip
 ## Installation
 {: #linux-installation}
 
-### Anaconda
-{: #linux-anaconda}
-
-#### No CUDA/ROCm
-
-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.
-
-#### With CUDA
-
-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.
-
-#### With ROCm
-
-PyTorch via Anaconda is not supported on ROCm currently. Please use pip instead.
-
-
 ### pip
 {: #linux-pip}
 
@@ -148,7 +114,7 @@ For the majority of PyTorch users, installing from a pre-built binary via a pack
 ### Prerequisites
 {: #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/)
diff --git a/_get_started/installation/mac.md b/_get_started/installation/mac.md
@@ -1,7 +1,7 @@
 # Installing on macOS
 {:.no_toc}
 
-PyTorch can be installed and used on macOS. 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. Depending on your system and GPU capabilities, your experience with PyTorch on macOS may vary in terms of processing time.
 
 ## Prerequisites
 {: #mac-prerequisites}
@@ -14,24 +14,13 @@ PyTorch is supported on macOS 10.15 (Catalina) or above.
 {: #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/).
 
 ### Package Manager
 {: #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). 
-#### Anaconda
-
-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:
-
-```bash
-# The version of Anaconda may be different depending on when you are installing`
-curl -O https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-arm64.sh
-sh Miniconda3-latest-MacOSX-arm64.sh
-# and follow the prompts. The defaults are generally good.`
-```
+To install the PyTorch binaries, you will need to use the supported package manager: [pip](https://pypi.org/project/pip/).
 #### pip
 
 *Python 3*
@@ -43,19 +32,10 @@ If you installed Python via Homebrew or the Python website, `pip` was installed
 ## Installation
 {: #mac-installation}
 
-### Anaconda
-{: #mac-anaconda}
-
-To install PyTorch via Anaconda, use the following conda command:
-
-```bash
-conda install pytorch torchvision -c pytorch
-```
-
 ### pip
 {: #mac-pip}
 
-To install PyTorch via pip, use one of the following two commands, depending on your Python version:
+To install PyTorch via pip, use the following command, depending on your Python version:
 
 ```bash
 # Python 3.x
@@ -91,7 +71,7 @@ For the majority of PyTorch users, installing from a pre-built binary via a pack
 ### Prerequisites
 {: #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).
diff --git a/_get_started/installation/windows.md b/_get_started/installation/windows.md
@@ -24,9 +24,6 @@ As it is not installed by default on Windows, there are multiple ways to install
 
 * [Chocolatey](https://chocolatey.org/)
 * [Python website](https://www.python.org/downloads/windows/)
-* [Anaconda](#anaconda)
-
-> If you use Anaconda to install PyTorch, it will install a sandboxed version of Python that will be used for running PyTorch applications.
 
 > If you decide to use Chocolatey, and haven't installed Chocolatey yet, ensure that you are running your command prompt as an administrator.
 
@@ -39,35 +36,14 @@ choco install python
 ### Package Manager
 {: #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.`
-
-#### Anaconda
-
-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/).
 #### 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.
 
 ## Installation
 {: #windows-installation}
 
-### Anaconda
-{: #windows-anaconda}
-
-To install PyTorch with Anaconda, you will need to open an Anaconda prompt via `Start | Anaconda3 | Anaconda Prompt`.
-
-#### No CUDA
-
-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.
-
-#### With CUDA
-
-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.
-
-
 ### pip
 {: #windows-pip}
 
@@ -126,7 +102,7 @@ For the majority of PyTorch users, installing from a pre-built binary via a pack
 ### Prerequisites
 {: #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)
