/** * Copyright (c) Meta Platforms, Inc. and affiliates. * All rights reserved. * * This source code is licensed under the BSD-style license found in the * LICENSE file in the root directory of this source tree. * * @format */ const React = require('react'); const CWD = process.cwd(); const CompLibrary = require(`${CWD}/node_modules/docusaurus/lib/core/CompLibrary.js`); const Container = CompLibrary.Container; const MarkdownBlock = CompLibrary.MarkdownBlock; const TutorialSidebar = require(`${CWD}/core/TutorialSidebar.js`); const bash = (...args) => `~~~bash\n${String.raw(...args)}\n~~~`; class TutorialHome extends React.Component { render() { return (

Welcome to the PyTorch3D Tutorials

Here you can learn about the structure and applications of PyTorch3D from examples which are in the form of ipython notebooks.

Run interactively

At the top of each example you can find a button named{' '} "Run in Google Colab" which will open the notebook in{' '} {' '} Google Colaboratory{' '} {' '} where you can run the code directly in the browser with access to GPU support - it looks like this:

{' '} You can modify the code and experiment with varying different settings. Remember to install the latest stable version of PyTorch3D and its dependencies. Code to do this with pip is provided in each notebook.{' '}

Run locally

{' '} There is also a button to download the notebook and source code to run it locally.{' '}

); } } module.exports = TutorialHome;