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‎_config.yml

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# Site settings
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title: "PyTorch Korea User Group"
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author: "PyTorch Korea User Group"
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default_author: PyTorch Korea User Group
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title: "파이토치 한국 사용자 모임 (PyTorch Korea User Group)"
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author: "PyTorchKorea Maintainers"
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default_author: "PyTorchKorea Maintainers"
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description: "파이토치 한국 사용자 모임에 오신 것을 환영합니다. 딥러닝 프레임워크인 파이토치(PyTorch)를 사용하는 한국어 사용자들을 위해 문서를 번역하고 정보를 공유하고 있습니다."
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latest_version: 1.0
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timezone: Asia/Seoul
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- jekyll-redirect-from
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- jekyll-autoprefixer
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- jekyll-feed
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- jekyll-github-metadata
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sass:
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load_paths:
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- _sass
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- node_modules
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exclude: [vendor, node_modules, Gemfile, Gemdile.lock, README.md, LICENSE, CONTRIBUTING.md, yarn.lock, yarn-error.log, package.json, Makefile, scripts, docs, _hub/docs/template.md]
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include: [.nojekyll, CNAME, _static, _images, _modules, _sources, _tensor_str.html, _utils.html]
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exclude: [
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vendor,
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node_modules,
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README.md,
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CODE_OF_CONDUCT.md,
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Gemfile,
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Gemdile.lock,
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LICENSE,
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yarn.lock,
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yarn-error.log,
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package.json,
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Makefile,
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scripts,
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docs,
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_hub/docs/template.md
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]
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include: [
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.nojekyll,
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CNAME,
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_static,
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_images,
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_modules,
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_sources,
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_tensor_str.html,
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_utils.html
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]
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keep_files: [vendor/assets, docs/master/_static/js/vendor/]
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repository: PyTorchKorea/pytorch.kr
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github: [metadata]
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external_urls:
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org_www: https://pytorch.org
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org: https://pytorch.org
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org_docs: https://pytorch.org/docs
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org_tutorials: https://pytorch.org/tutorials
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hub_template: https://github.com/pytorch/hub/blob/master/docs/template.md
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previous_pytorch_versions: https://pytorch.kr/get-started/previous-versions/
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site_tutorials: https://tutorials.pytorch.kr/
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site_community: https://discuss.pytorch.kr/
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site_hub: https://pytorch.kr/hub
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repo_tutorials: https://github.com/PyTorchKorea/tutorials-kr
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repo_hub: https://github.com/PyTorchKorea/hub-kr
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repo_www: https://github.com/PyTorchKorea/pytorch.kr
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repo_org: https://github.com/PyTorchKorea
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hub_issue: https://github.com/PyTorchKorea/hub-kr/issues
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www_issue: https://github.com/PyTorchKorea/pytorch.kr/issues
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community: https://discuss.pytorch.kr/
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tutorials: https://tutorials.pytorch.kr/
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tutorials_github: https://github.com/PyTorchKorea/tutorials-kr
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livereload: false
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markdown: kramdown
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highlighter: rouge
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collections:
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about:
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output: false
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output: true
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get_started:
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output: true
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hub:
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output: true
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permalink: /hub/:title/
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maintainers:
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output: false
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resources:
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output: false
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features:
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output: false
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output: true
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news:
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output: true
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permalink: /news/:title/

‎_get_started/installation/linux.md

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### Python
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{: #linux-python}
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Python 3.6 or greater is generally installed by default on any of our supported Linux distributions, which meets our recommendation.
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Python 3.7 or greater is generally installed by default on any of our supported Linux distributions, which meets our recommendation.
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> Tip: By default, you will have to use the command `python3` to run Python. If you want to use just the command `python`, instead of `python3`, you can symlink `python` to the `python3` binary.
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‎_get_started/installation/mac.md

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# Installing on macOS
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{:.no_toc}
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PyTorch can be installed and used on macOS. Depending on your system and compute requirements, your experience with PyTorch on a Mac may vary in terms of processing time. It is recommended, but not required, that your Mac have an NVIDIA GPU in order to harness the full power of PyTorch's [CUDA](https://developer.nvidia.com/cuda-zone) [support](https://pytorch.org/tutorials/beginner/blitz/tensor_tutorial.html?highlight=cuda#cuda-tensors).
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> Currently, CUDA support on macOS is only available by [building PyTorch from source](#mac-from-source)
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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.
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## Prerequisites
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{: #mac-prerequisites}
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### macOS Version
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PyTorch is supported on macOS 10.10 (Yosemite) or above.
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PyTorch is supported on macOS 10.15 (Catalina) or above.
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### Python
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{: #mac-python}
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It is recommended that you use Python 3.5 or greater, which can be installed either through the Anaconda package manager (see [below](#anaconda)), [Homebrew](https://brew.sh/), or the [Python website](https://www.python.org/downloads/mac-osx/).
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It is recommended that you use Python 3.7 or greater, which can be installed either through the Anaconda package manager (see [below](#anaconda)), [Homebrew](https://brew.sh/), or the [Python website](https://www.python.org/downloads/mac-osx/).
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### Package Manager
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{: #mac-package-manager}
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#### Anaconda
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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`, and then use the following commands:
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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 Intel Mac:
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```bash
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# The version of Anaconda may be different depending on when you are installing`
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curl -O https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-x86_64.sh
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sh Miniconda3-latest-MacOSX-x86_64.sh
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# and follow the prompts. The defaults are generally good.`
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```
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or following commands on M1 Mac:
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```bash
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# The version of Anaconda may be different depending on when you are installing`
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curl -O https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-arm64.sh
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sh Miniconda3-latest-MacOSX-arm64.sh
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# and follow the prompts. The defaults are generally good.`
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```
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#### pip
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*Python 3*
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For the majority of PyTorch users, installing from a pre-built binary via a package manager will provide the best experience. However, there are times when you may want to install the bleeding edge PyTorch code, whether for testing or actual development on the PyTorch core. To install the latest PyTorch code, you will need to [build PyTorch from source](https://github.com/pytorch/pytorch#from-source).
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> You will also need to build from source if you want CUDA support.
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### Prerequisites
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{: #mac-prerequisites-2}
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1. Install [Anaconda](#anaconda)
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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. Follow the steps described here: [https://github.com/pytorch/pytorch#from-source](https://github.com/pytorch/pytorch#from-source)
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1. [Optional] Install [Anaconda](#anaconda)
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2. 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](#mac-verification).

‎_get_started/installation/windows.md

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### Python
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{: #windows-python}
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Currently, PyTorch on Windows only supports Python 3.x; Python 2.x is not supported.
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Currently, PyTorch on Windows only supports Python 3.7-3.9; Python 2.x is not supported.
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As it is not installed by default on Windows, there are multiple ways to install Python:
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‎_get_started/previous-versions.md

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## 1.0.0 이상 버전 설치하기
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### v1.11.0
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#### Conda
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##### OSX
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```
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# conda
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conda install pytorch==1.11.0 torchvision==0.12.0 torchaudio==0.11.0 -c pytorch
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```
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##### Linux and Windows
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```
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# CUDA 10.2
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conda install pytorch==1.11.0 torchvision==0.12.0 torchaudio==0.11.0 cudatoolkit=10.2 -c pytorch
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# CUDA 11.3
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conda install pytorch==1.11.0 torchvision==0.12.0 torchaudio==0.11.0 cudatoolkit=11.3 -c pytorch
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# CPU Only
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conda install pytorch==1.11.0 torchvision==0.12.0 torchaudio==0.11.0 cpuonly -c pytorch
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```
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#### Wheel
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##### OSX
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```
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pip install torch==1.11.0 torchvision==0.12.0 torchaudio==0.11.0
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```
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##### Linux and Windows
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```
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# ROCM 4.5.2 (Linux only)
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pip install torch==1.11.0+rocm4.5.2 torchvision==0.12.0+rocm4.5.2 torchaudio==0.11.0 --extra-index-url https://download.pytorch.org/whl/rocm4.5.2
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# CUDA 11.3
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pip install torch==1.11.0+cu113 torchvision==0.12.0+cu113 torchaudio==0.11.0 --extra-index-url https://download.pytorch.org/whl/cu113
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# CUDA 10.2
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pip install torch==1.11.0+cu102 torchvision==0.12.0+cu102 torchaudio==0.11.0 --extra-index-url https://download.pytorch.org/whl/cu102
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# CPU only
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pip install torch==1.11.0+cpu torchvision==0.12.0+cpu torchaudio==0.11.0 --extra-index-url https://download.pytorch.org/whl/cpu
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```
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### v1.10.1
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#### Conda
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##### OSX
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```
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# conda
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conda install pytorch==1.10.1 torchvision==0.11.2 torchaudio==0.10.1 -c pytorch
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```
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##### Linux and Windows
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```
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# CUDA 10.2
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conda install pytorch==1.10.1 torchvision==0.11.2 torchaudio==0.10.1 cudatoolkit=10.2 -c pytorch
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# CUDA 11.3
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conda install pytorch==1.10.1 torchvision==0.11.2 torchaudio==0.10.1 cudatoolkit=11.3 -c pytorch -c conda-forge
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# CPU Only
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conda install pytorch==1.10.1 torchvision==0.11.2 torchaudio==0.10.1 cpuonly -c pytorch
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```
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#### Wheel
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##### OSX
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```
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pip install torch==1.10.1 torchvision==0.11.2 torchaudio==0.10.1
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```
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##### Linux and Windows
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```
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# ROCM 4.2 (Linux only)
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pip install torch==1.10.1+rocm4.2 torchvision==0.11.2+rocm4.2 torchaudio==0.10.1 -f https://download.pytorch.org/whl/torch_stable.html
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# ROCM 4.1 (Linux only)
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pip install torch==1.10.1+rocm4.1 torchvision==0.11.2+rocm4.1 torchaudio==0.10.1 -f https://download.pytorch.org/whl/torch_stable.html
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# ROCM 4.0.1 (Linux only)
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pip install torch==1.10.1+rocm4.0.1 torchvision==0.10.2+rocm4.0.1 torchaudio==0.10.1 -f https://download.pytorch.org/whl/torch_stable.html
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# CUDA 11.1
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pip install torch==1.10.1+cu111 torchvision==0.11.2+cu111 torchaudio==0.10.1 -f https://download.pytorch.org/whl/torch_stable.html
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# CUDA 10.2
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pip install torch==1.10.1+cu102 torchvision==0.11.2+cu102 torchaudio==0.10.1 -f https://download.pytorch.org/whl/torch_stable.html
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# CPU only
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pip install torch==1.10.1+cpu torchvision==0.11.2+cpu torchaudio==0.10.1 -f https://download.pytorch.org/whl/torch_stable.html
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```
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### v1.10.0
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#### Conda
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##### OSX
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```
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# conda
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conda install pytorch==1.10.0 torchvision==0.11.0 torchaudio==0.10.0 -c pytorch
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```
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##### Linux and Windows
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```
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# CUDA 10.2
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conda install pytorch==1.10.0 torchvision==0.11.0 torchaudio==0.10.0 cudatoolkit=10.2 -c pytorch
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# CUDA 11.3
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conda install pytorch==1.10.0 torchvision==0.11.0 torchaudio==0.10.0 cudatoolkit=11.3 -c pytorch -c conda-forge
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# CPU Only
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conda install pytorch==1.10.0 torchvision==0.11.0 torchaudio==0.10.0 cpuonly -c pytorch
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```
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#### Wheel
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##### OSX
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```
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pip install torch==1.10.0 torchvision==0.11.0 torchaudio==0.10.0
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```
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##### Linux and Windows
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```
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# ROCM 4.2 (Linux only)
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pip install torch==1.10.0+rocm4.2 torchvision==0.11.0+rocm4.2 torchaudio==0.10.0 -f https://download.pytorch.org/whl/torch_stable.html
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# ROCM 4.1 (Linux only)
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pip install torch==1.10.0+rocm4.1 torchvision==0.11.0+rocm4.1 torchaudio==0.10.0 -f https://download.pytorch.org/whl/torch_stable.html
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# ROCM 4.0.1 (Linux only)
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pip install torch==1.10.0+rocm4.0.1 torchvision==0.10.1+rocm4.0.1 torchaudio==0.10.0 -f https://download.pytorch.org/whl/torch_stable.html
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# CUDA 11.1
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pip install torch==1.10.0+cu111 torchvision==0.11.0+cu111 torchaudio==0.10.0 -f https://download.pytorch.org/whl/torch_stable.html
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# CUDA 10.2
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pip install torch==1.10.0+cu102 torchvision==0.11.0+cu102 torchaudio==0.10.0 -f https://download.pytorch.org/whl/torch_stable.html
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# CPU only
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pip install torch==1.10.0+cpu torchvision==0.11.0+cpu torchaudio==0.10.0 -f https://download.pytorch.org/whl/torch_stable.html
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```
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### v1.9.1
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#### Conda
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##### OSX
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```
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# conda
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conda install pytorch==1.9.1 torchvision==0.10.1 torchaudio==0.9.1 -c pytorch
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```
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##### Linux and Windows
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```
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# CUDA 10.2
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conda install pytorch==1.9.1 torchvision==0.10.1 torchaudio==0.9.1 cudatoolkit=10.2 -c pytorch
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# CUDA 11.3
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conda install pytorch==1.9.1 torchvision==0.10.1 torchaudio==0.9.1 cudatoolkit=11.3 -c pytorch -c conda-forge
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# CPU Only
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conda install pytorch==1.9.0 torchvision==0.10.1 torchaudio==0.9.1 cpuonly -c pytorch
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```
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#### Wheel
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##### OSX
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```
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pip install torch==1.9.1 torchvision==0.10.1 torchaudio==0.9.1
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```
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##### Linux and Windows
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```
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# ROCM 4.2 (Linux only)
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pip install torch==1.9.0+rocm4.2 torchvision==0.10.1+rocm4.2 torchaudio==0.9.1 -f https://download.pytorch.org/whl/torch_stable.html
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# ROCM 4.1 (Linux only)
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pip install torch==1.9.0+rocm4.1 torchvision==0.10.1+rocm4.1 torchaudio==0.9.1 -f https://download.pytorch.org/whl/torch_stable.html
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# ROCM 4.0.1 (Linux only)
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pip install torch==1.9.1+rocm4.0.1 torchvision==0.10.1+rocm4.0.1 torchaudio==0.9.1 -f https://download.pytorch.org/whl/torch_stable.html
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# CUDA 11.1
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pip install torch==1.9.1+cu111 torchvision==0.10.1+cu111 torchaudio==0.9.1 -f https://download.pytorch.org/whl/torch_stable.html
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# CUDA 10.2
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pip install torch==1.9.1+cu102 torchvision==0.10.1+cu102 torchaudio==0.9.0 -f https://download.pytorch.org/whl/torch_stable.html
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# CPU only
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pip install torch==1.9.1+cpu torchvision==0.10.1+cpu torchaudio==0.9.1 -f https://download.pytorch.org/whl/torch_stable.html
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```
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### v1.9.0
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#### Conda

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