website/pages/en/index.js (274 lines of code) (raw):

/** * Copyright (c) 2017-present, Facebook, Inc. * * This source code is licensed under the BSD license found in the * LICENSE file in the root directory of this source tree. * * @format */ const React = require('react'); const CompLibrary = require('../../core/CompLibrary.js'); const MarkdownBlock = CompLibrary.MarkdownBlock; const Container = CompLibrary.Container; const GridBlock = CompLibrary.GridBlock; const bash = (...args) => `~~~bash\n${String.raw(...args)}\n~~~`; class HomeSplash extends React.Component { render() { const {siteConfig, language = ''} = this.props; const {baseUrl, docsUrl} = siteConfig; const docsPart = `${docsUrl ? `${docsUrl}/` : ''}`; const langPart = `${language ? `${language}/` : ''}`; const docUrl = doc => `${baseUrl}${docsPart}${langPart}${doc}`; const SplashContainer = props => ( <div className="homeContainer"> <div className="homeSplashFade"> <div className="wrapper homeWrapper">{props.children}</div> </div> </div> ); const Logo = props => ( <div className="splashLogo"> <img src={props.img_src} alt="Project Logo" className="primaryLogoImage"/> </div> ); const ProjectTitle = () => ( <h2 className="projectTitle"> <small>{siteConfig.tagline}</small> </h2> ); const PromoSection = props => ( <div className="section promoSection"> <div className="promoRow"> <div className="pluginRowBlock">{props.children}</div> </div> </div> ); const Button = props => ( <div className="pluginWrapper buttonWrapper"> <a className="button" href={props.href} target={props.target}> {props.children} </a> </div> ); return ( <SplashContainer> <div className="productTitle">Captum</div> <div className="inner"> <ProjectTitle siteConfig={siteConfig} /> <PromoSection> <Button href={docUrl('introduction.html')}>Introduction</Button> <Button href={'#quickstart'}>Get Started</Button> <Button href={`${baseUrl}tutorials/`}>Tutorials</Button> </PromoSection> </div> </SplashContainer> ); } } class Index extends React.Component { render() { const {config: siteConfig, language = ''} = this.props; const {baseUrl} = siteConfig; const Block = props => ( <Container padding={['bottom', 'top']} id={props.id} background={props.background}> <GridBlock align="center" contents={props.children} layout={props.layout} /> </Container> ); const Description = () => ( <Block background="light"> {[ { content: 'This is another description of how this project is useful', image: `${baseUrl}img/captum-icon.png`, imageAlign: 'right', title: 'Description', }, ]} </Block> ); // getStartedSection const pre = '```'; // Example for model fitting const createModelExample = `${pre}python import numpy as np import torch import torch.nn as nn from captum.attr import IntegratedGradients class ToyModel(nn.Module): def __init__(self): super().__init__() self.lin1 = nn.Linear(3, 3) self.relu = nn.ReLU() self.lin2 = nn.Linear(3, 2) # initialize weights and biases self.lin1.weight = nn.Parameter(torch.arange(-4.0, 5.0).view(3, 3)) self.lin1.bias = nn.Parameter(torch.zeros(1,3)) self.lin2.weight = nn.Parameter(torch.arange(-3.0, 3.0).view(2, 3)) self.lin2.bias = nn.Parameter(torch.ones(1,2)) def forward(self, input): return self.lin2(self.relu(self.lin1(input))) model = ToyModel() model.eval() `; // Example for defining an acquisition function const defineInputBaseline = `${pre}python input = torch.rand(2, 3) baseline = torch.zeros(2, 3) `; const randomSeedsDefinition = `${pre}python torch.manual_seed(123) np.random.seed(123) `; // Example for optimizing candidates const instantiateApply = `${pre}python ig = IntegratedGradients(model) attributions, delta = ig.attribute(input, baseline, target=0, return_convergence_delta=True) print('IG Attributions:', attributions) print('Convergence Delta:', delta) `; const igOutput = `${pre}python IG Attributions: tensor([[-0.5922, -1.5497, -1.0067], [ 0.0000, -0.2219, -5.1991]]) Convergence Delta: tensor([2.3842e-07, -4.7684e-07]) `; // const QuickStart = () => ( <div className="productShowcaseSection" id="quickstart" style={{textAlign: 'center'}}> <h2>Get Started</h2> <Container> <ol> <li> <h4>Install Captum:</h4> <a>via conda (recommended):</a> <MarkdownBlock>{bash`conda install captum -c pytorch`}</MarkdownBlock> <a>via pip:</a> <MarkdownBlock>{bash`pip install captum`}</MarkdownBlock> </li> <li> <h4>Create and prepare model:</h4> <MarkdownBlock>{createModelExample}</MarkdownBlock> </li> <li> <h4>To make computations deterministic, let's fix random seeds:</h4> <MarkdownBlock>{randomSeedsDefinition}</MarkdownBlock> </li> <li> <h4>Define input and baseline tensors:</h4> <MarkdownBlock>{defineInputBaseline}</MarkdownBlock> </li> <li> <h4>Select algorithm to instantiate and apply (Integrated Gradients in this example):</h4> <MarkdownBlock>{instantiateApply}</MarkdownBlock> </li> <li> <h4>View Output:</h4> <MarkdownBlock>{igOutput}</MarkdownBlock> </li> </ol> </Container> </div> ); const Features = () => ( <div className="productShowcaseSection" style={{textAlign: 'center'}}> <h2>Key Features</h2> <Block layout="threeColumn"> {[ { content: 'Supports interpretability of models across modalities including vision, text, and more.', image: `${baseUrl}img/multi-modal.png`, imageAlign: 'top', title: 'Multi-Modal', }, { content: 'Supports most types of PyTorch models and can be used with minimal modification to the original neural network.', image: `${baseUrl}img/pytorch_logo.svg`, imageAlign: 'top', title: 'Built on PyTorch', }, { content: 'Open source, generic library for interpretability research. Easily implement and benchmark new algorithms. ', image: `${baseUrl}img/expanding_arrows.svg`, imageAlign: 'top', title: 'Extensible', }, ]} </Block> </div> ); const Showcase = () => { if ((siteConfig.users || []).length === 0) { return null; } const showcase = siteConfig.users .filter(user => user.pinned) .map(user => ( <a href={user.infoLink} key={user.infoLink}> <img src={user.image} alt={user.caption} title={user.caption} /> </a> )); const pageUrl = page => baseUrl + (language ? `${language}/` : '') + page; return ( <div className="productShowcaseSection paddingBottom"> <h2>Who is Using This?</h2> <p>This project is used by all these people</p> <div className="logos">{showcase}</div> <div className="more-users"> <a className="button" href={pageUrl('users.html')}> More {siteConfig.title} Users </a> </div> </div> ); }; return ( <div> <SocialBanner /> <HomeSplash siteConfig={siteConfig} language={language} /> <div className="landingPage mainContainer"> <VideoContainer /> <Features /> <QuickStart /> </div> </div> ); } } function SocialBanner() { return ( <div className="SocialBannerWrapper"> <div className="SocialBanner"> Support Ukraine πŸ‡ΊπŸ‡¦{' '} <a href="https://opensource.fb.com/support-ukraine"> Help Provide Humanitarian Aid to Ukraine </a> . </div> </div> ); } function VideoContainer() { return ( <div className="container text--center margin-bottom--xl margin-top--lg"> <div className="row"> <div className="col" style={{textAlign: 'center'}}> <h2>Check it out in the intro video</h2> <div> <iframe width="560" height="315" src="https://www.youtube.com/embed/YYatLlT3tPI" title="Explain Like I'm 5: Captum" frameBorder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowFullScreen /> </div> </div> </div> </div> ); } module.exports = Index;