From c50bb4c77959ad078d675d3f21981812166216aa Mon Sep 17 00:00:00 2001 From: holao Date: Fri, 1 Dec 2017 04:36:58 -0800 Subject: [PATCH 01/11] save purpose --- myproj/.babelrc | 15 + myproj/.editorconfig | 9 + myproj/.eslintignore | 5 + myproj/.eslintrc.js | 27 + myproj/.gitignore | 17 + myproj/.postcssrc.js | 9 + myproj/README.md | 30 + myproj/build/build.js | 41 + myproj/build/check-versions.js | 49 + myproj/build/logo.png | Bin 0 -> 6849 bytes myproj/build/utils.js | 98 + myproj/build/vue-loader.conf.js | 23 + myproj/build/webpack.base.conf.js | 78 + myproj/build/webpack.dev.conf.js | 78 + myproj/build/webpack.prod.conf.js | 146 + myproj/build/webpack.test.conf.js | 32 + myproj/config/dev.env.js | 7 + myproj/config/index.js | 81 + myproj/config/prod.env.js | 4 + myproj/config/test.env.js | 7 + myproj/index.html | 12 + myproj/package-lock.json | 11880 ++++++++++++++++ myproj/package.json | 83 + myproj/src/App.vue | 23 + myproj/src/assets/imdb-bidirectional-lstm.png | Bin 0 -> 150415 bytes myproj/src/assets/inception-v3.png | Bin 0 -> 197651 bytes myproj/src/assets/logo.png | Bin 0 -> 6849 bytes myproj/src/assets/mnist-acgan.png | Bin 0 -> 49192 bytes myproj/src/assets/mnist-cnn.png | Bin 0 -> 51719 bytes myproj/src/assets/mnist-vae.png | Bin 0 -> 49035 bytes myproj/src/assets/resnet50.png | Bin 0 -> 148764 bytes myproj/src/assets/squeezenet-v1.1.png | Bin 0 -> 114406 bytes myproj/src/components/HelloWorld.vue | 50 + myproj/src/components/Home.vue | 94 + myproj/src/main.js | 15 + myproj/src/router/index.js | 17 + myproj/src/variables.css | 15 + myproj/static/.gitkeep | 0 .../e2e/custom-assertions/elementCount.js | 27 + myproj/test/e2e/nightwatch.conf.js | 46 + myproj/test/e2e/runner.js | 48 + myproj/test/e2e/specs/test.js | 19 + myproj/test/unit/.eslintrc | 7 + myproj/test/unit/jest.conf.js | 30 + myproj/test/unit/setup.js | 3 + myproj/test/unit/specs/HelloWorld.spec.js | 11 + 46 files changed, 13136 insertions(+) create mode 100644 myproj/.babelrc create mode 100644 myproj/.editorconfig create mode 100644 myproj/.eslintignore create mode 100644 myproj/.eslintrc.js create mode 100644 myproj/.gitignore create mode 100644 myproj/.postcssrc.js create mode 100644 myproj/README.md create mode 100644 myproj/build/build.js create mode 100644 myproj/build/check-versions.js create mode 100644 myproj/build/logo.png create mode 100644 myproj/build/utils.js create mode 100644 myproj/build/vue-loader.conf.js create mode 100644 myproj/build/webpack.base.conf.js create mode 100644 myproj/build/webpack.dev.conf.js create mode 100644 myproj/build/webpack.prod.conf.js create mode 100644 myproj/build/webpack.test.conf.js create mode 100644 myproj/config/dev.env.js create mode 100644 myproj/config/index.js create mode 100644 myproj/config/prod.env.js create mode 100644 myproj/config/test.env.js create mode 100644 myproj/index.html create mode 100644 myproj/package-lock.json create mode 100644 myproj/package.json create mode 100644 myproj/src/App.vue create mode 100644 myproj/src/assets/imdb-bidirectional-lstm.png create mode 100644 myproj/src/assets/inception-v3.png create mode 100644 myproj/src/assets/logo.png create mode 100644 myproj/src/assets/mnist-acgan.png create mode 100644 myproj/src/assets/mnist-cnn.png create mode 100644 myproj/src/assets/mnist-vae.png create mode 100644 myproj/src/assets/resnet50.png create mode 100644 myproj/src/assets/squeezenet-v1.1.png create mode 100644 myproj/src/components/HelloWorld.vue create mode 100644 myproj/src/components/Home.vue create mode 100644 myproj/src/main.js create mode 100644 myproj/src/router/index.js create mode 100644 myproj/src/variables.css create mode 100644 myproj/static/.gitkeep create mode 100644 myproj/test/e2e/custom-assertions/elementCount.js create mode 100644 myproj/test/e2e/nightwatch.conf.js create mode 100644 myproj/test/e2e/runner.js create mode 100644 myproj/test/e2e/specs/test.js create mode 100644 myproj/test/unit/.eslintrc create mode 100644 myproj/test/unit/jest.conf.js create mode 100644 myproj/test/unit/setup.js create mode 100644 myproj/test/unit/specs/HelloWorld.spec.js diff --git a/myproj/.babelrc b/myproj/.babelrc new file mode 100644 index 0000000000..3419daeaef --- /dev/null +++ b/myproj/.babelrc @@ -0,0 +1,15 @@ +{ + "presets": [ + ["env", { + "modules": false + }], + "stage-2" + ], + "plugins": ["transform-runtime"], + "env": { + "test": { + "presets": ["env", "stage-2"], + "plugins": ["transform-es2015-modules-commonjs", "dynamic-import-node"] + } + } +} diff --git a/myproj/.editorconfig b/myproj/.editorconfig new file mode 100644 index 0000000000..9d08a1a828 --- /dev/null +++ b/myproj/.editorconfig @@ -0,0 +1,9 @@ +root = true + +[*] +charset = utf-8 +indent_style = space +indent_size = 2 +end_of_line = lf +insert_final_newline = true +trim_trailing_whitespace = true diff --git a/myproj/.eslintignore b/myproj/.eslintignore new file mode 100644 index 0000000000..e2192c5c28 --- /dev/null +++ b/myproj/.eslintignore @@ -0,0 +1,5 @@ +/build/ +/config/ +/dist/ +/*.js +/test/unit/coverage/ diff --git a/myproj/.eslintrc.js b/myproj/.eslintrc.js new file mode 100644 index 0000000000..e0dd62d911 --- /dev/null +++ b/myproj/.eslintrc.js @@ -0,0 +1,27 @@ +// https://eslint.org/docs/user-guide/configuring + +module.exports = { + root: true, + parser: 'babel-eslint', + parserOptions: { + sourceType: 'module' + }, + env: { + browser: true, + }, + // https://github.com/standard/standard/blob/master/docs/RULES-en.md + extends: 'standard', + // required to lint *.vue files + plugins: [ + 'html' + ], + // add your custom rules here + 'rules': { + // allow paren-less arrow functions + 'arrow-parens': 0, + // allow async-await + 'generator-star-spacing': 0, + // allow debugger during development + 'no-debugger': process.env.NODE_ENV === 'production' ? 2 : 0 + } +} diff --git a/myproj/.gitignore b/myproj/.gitignore new file mode 100644 index 0000000000..dfb4167f9a --- /dev/null +++ b/myproj/.gitignore @@ -0,0 +1,17 @@ +.DS_Store +node_modules/ +/dist/ +npm-debug.log* +yarn-debug.log* +yarn-error.log* +/test/unit/coverage/ +/test/e2e/reports/ +selenium-debug.log + +# Editor directories and files +.idea +.vscode +*.suo +*.ntvs* +*.njsproj +*.sln diff --git a/myproj/.postcssrc.js b/myproj/.postcssrc.js new file mode 100644 index 0000000000..249472dab1 --- /dev/null +++ b/myproj/.postcssrc.js @@ -0,0 +1,9 @@ +// https://github.com/michael-ciniawsky/postcss-load-config + +module.exports = { + "plugins": { + // to edit target browsers: use "browserslist" field in package.json + "postcss-import": {}, + "autoprefixer": {} + } +} diff --git a/myproj/README.md b/myproj/README.md new file mode 100644 index 0000000000..09e8da5382 --- /dev/null +++ b/myproj/README.md @@ -0,0 +1,30 @@ +# myproj + +> A Vue.js project + +## Build Setup + +``` bash +# install dependencies +npm install + +# serve with hot reload at localhost:8080 +npm run dev + +# build for production with minification +npm run build + +# build for production and view the bundle analyzer report +npm run build --report + +# run unit tests +npm run unit + +# run e2e tests +npm run e2e + +# run all tests +npm test +``` + +For a detailed explanation on how things work, check out the [guide](http://vuejs-templates.github.io/webpack/) and [docs for vue-loader](http://vuejs.github.io/vue-loader). diff --git a/myproj/build/build.js b/myproj/build/build.js new file mode 100644 index 0000000000..30f036a180 --- /dev/null +++ b/myproj/build/build.js @@ -0,0 +1,41 @@ +'use strict' +require('./check-versions')() + +process.env.NODE_ENV = 'production' + +const ora = require('ora') +const rm = require('rimraf') +const path = require('path') +const chalk = require('chalk') +const webpack = require('webpack') +const config = require('../config') +const webpackConfig = require('./webpack.prod.conf') + +const spinner = ora('building for production...') +spinner.start() + +rm(path.join(config.build.assetsRoot, config.build.assetsSubDirectory), err => { + if (err) throw err + webpack(webpackConfig, function (err, stats) { + spinner.stop() + if (err) throw err + process.stdout.write(stats.toString({ + colors: true, + modules: false, + children: false, + chunks: false, + chunkModules: false + }) + '\n\n') + + if (stats.hasErrors()) { + console.log(chalk.red(' Build failed with errors.\n')) + process.exit(1) + } + + console.log(chalk.cyan(' Build complete.\n')) + console.log(chalk.yellow( + ' Tip: built files are meant to be served over an HTTP server.\n' + + ' Opening index.html over file:// won\'t work.\n' + )) + }) +}) diff --git a/myproj/build/check-versions.js b/myproj/build/check-versions.js new file mode 100644 index 0000000000..ca407bb16f --- /dev/null +++ b/myproj/build/check-versions.js @@ -0,0 +1,49 @@ +'use strict' +const chalk = require('chalk') +const semver = require('semver') +const packageConfig = require('../package.json') +const shell = require('shelljs') +function exec (cmd) { + return require('child_process').execSync(cmd).toString().trim() +} + +const versionRequirements = [ + { + name: 'node', + currentVersion: semver.clean(process.version), + versionRequirement: packageConfig.engines.node + } +] + +if (shell.which('npm')) { + versionRequirements.push({ + name: 'npm', + currentVersion: exec('npm --version'), + versionRequirement: packageConfig.engines.npm + }) +} + +module.exports = function () { + const warnings = [] + for (let i = 0; i < versionRequirements.length; i++) { + const mod = versionRequirements[i] + if (!semver.satisfies(mod.currentVersion, mod.versionRequirement)) { + warnings.push(mod.name + ': ' + + chalk.red(mod.currentVersion) + ' should be ' + + chalk.green(mod.versionRequirement) + ) + } + } + + if (warnings.length) { + console.log('') + console.log(chalk.yellow('To use this template, you must update following to modules:')) + console.log() + for (let i = 0; i < warnings.length; i++) { + const warning = warnings[i] + console.log(' ' + warning) + } + console.log() + process.exit(1) + } +} diff --git a/myproj/build/logo.png b/myproj/build/logo.png new file mode 100644 index 0000000000000000000000000000000000000000..f3d2503fc2a44b5053b0837ebea6e87a2d339a43 GIT binary patch literal 6849 zcmaKRcUV(fvo}bjDT-7nLI_nlK}sT_69H+`qzVWDA|yaU?}j417wLi^B1KB1SLsC& zL0ag7$U(XW5YR7p&Ux?sP$d4lvMt8C^+TcQu4F zQqv!UF!I+kw)c0jhd6+g6oCr9P?7)?!qX1ui*iL{p}sKCAGuJ{{W)0z1pLF|=>h}& zt(2Lr0Z`2ig8<5i%Zk}cO5Fm=LByqGWaS`oqChZdEFmc`0hSb#gg|Aap^{+WKOYcj zHjINK)KDG%&s?Mt4CL(T=?;~U@bU2x_mLKN!#GJuK_CzbNw5SMEJorG!}_5;?R>@1 zSl)jns3WlU7^J%=(hUtfmuUCU&C3%8B5C^f5>W2Cy8jW3#{Od{lF1}|?c61##3dzA zsPlFG;l_FzBK}8>|H_Ru_H#!_7$UH4UKo3lKOA}g1(R&|e@}GINYVzX?q=_WLZCgh z)L|eJMce`D0EIwgRaNETDsr+?vQknSGAi=7H00r`QnI%oQnFxm`G2umXso9l+8*&Q z7WqF|$p49js$mdzo^BXpH#gURy=UO;=IMrYc5?@+sR4y_?d*~0^YP7d+y0{}0)zBM zIKVM(DBvICK#~7N0a+PY6)7;u=dutmNqK3AlsrUU9U`d;msiucB_|8|2kY=(7XA;G zwDA8AR)VCA#JOkxm#6oHNS^YVuOU;8p$N)2{`;oF|rQ?B~K$%rHDxXs+_G 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const filename = error.file && error.file.split('!').pop() + notifier.notify({ + title: pkg.name, + message: severity + ': ' + error.name, + subtitle: filename || '', + icon: path.join(__dirname, 'logo.png') + }) + } +} diff --git a/myproj/build/vue-loader.conf.js b/myproj/build/vue-loader.conf.js new file mode 100644 index 0000000000..847f7cf2b9 --- /dev/null +++ b/myproj/build/vue-loader.conf.js @@ -0,0 +1,23 @@ +'use strict' +const utils = require('./utils') +const config = require('../config') +const isProduction = process.env.NODE_ENV === 'production' +const sourceMapEnabled = isProduction + ? config.build.productionSourceMap + : config.dev.cssSourceMap + + +module.exports = { + loaders: utils.cssLoaders({ + sourceMap: sourceMapEnabled, + extract: isProduction + }), + cssSourceMap: sourceMapEnabled, + cacheBusting: config.dev.cacheBusting, + transformToRequire: { + video: 'src', + source: 'src', + img: 'src', + image: 'xlink:href' + } +} diff --git a/myproj/build/webpack.base.conf.js b/myproj/build/webpack.base.conf.js new file mode 100644 index 0000000000..b69edc013a --- /dev/null +++ b/myproj/build/webpack.base.conf.js @@ -0,0 +1,78 @@ +'use strict' +const path = require('path') +const utils = require('./utils') +const config = require('../config') +const vueLoaderConfig = require('./vue-loader.conf') + +function resolve (dir) { + return path.join(__dirname, '..', dir) +} + +module.exports = { + context: path.resolve(__dirname, '../'), + entry: { + app: './src/main.js' + }, + output: { + path: config.build.assetsRoot, + filename: '[name].js', + publicPath: process.env.NODE_ENV === 'production' + ? config.build.assetsPublicPath + : config.dev.assetsPublicPath + }, + resolve: { + extensions: ['.js', '.vue', '.json'], + alias: { + 'vue$': 'vue/dist/vue.esm.js', + '@': resolve('src'), + } + }, + module: { + rules: [ + ...(config.dev.useEslint? [{ + test: /\.(js|vue)$/, + loader: 'eslint-loader', + enforce: 'pre', + include: [resolve('src'), resolve('test')], + options: { + formatter: require('eslint-friendly-formatter'), + emitWarning: !config.dev.showEslintErrorsInOverlay + } + }] : []), + { + test: /\.vue$/, + loader: 'vue-loader', + options: vueLoaderConfig + }, + { + test: /\.js$/, + loader: 'babel-loader', + include: [resolve('src'), resolve('test')] + }, + { + test: /\.(png|jpe?g|gif|svg)(\?.*)?$/, + loader: 'url-loader', + options: { + limit: 10000, + name: utils.assetsPath('img/[name].[hash:7].[ext]') + } + }, + { + test: /\.(mp4|webm|ogg|mp3|wav|flac|aac)(\?.*)?$/, + loader: 'url-loader', + options: { + limit: 10000, + name: utils.assetsPath('media/[name].[hash:7].[ext]') + } + }, + { + test: /\.(woff2?|eot|ttf|otf)(\?.*)?$/, + loader: 'url-loader', + options: { + limit: 10000, + name: utils.assetsPath('fonts/[name].[hash:7].[ext]') + } + } + ] + } +} diff --git a/myproj/build/webpack.dev.conf.js b/myproj/build/webpack.dev.conf.js new file mode 100644 index 0000000000..813a7b0ccd --- /dev/null +++ b/myproj/build/webpack.dev.conf.js @@ -0,0 +1,78 @@ +'use strict' +const utils = require('./utils') +const webpack = require('webpack') +const config = require('../config') +const merge = require('webpack-merge') +const baseWebpackConfig = require('./webpack.base.conf') +const HtmlWebpackPlugin = require('html-webpack-plugin') +const FriendlyErrorsPlugin = require('friendly-errors-webpack-plugin') +const portfinder = require('portfinder') + +const devWebpackConfig = merge(baseWebpackConfig, { + module: { + rules: utils.styleLoaders({ sourceMap: config.dev.cssSourceMap, usePostCSS: true }) + }, + // cheap-module-eval-source-map is faster for development + devtool: config.dev.devtool, + + // these devServer options should be customized in /config/index.js + devServer: { + clientLogLevel: 'warning', + historyApiFallback: true, + hot: true, + compress: true, + host: process.env.HOST || config.dev.host, + port: process.env.PORT || config.dev.port, + open: config.dev.autoOpenBrowser, + overlay: config.dev.errorOverlay ? { + warnings: false, + errors: true, + } : false, + publicPath: config.dev.assetsPublicPath, + proxy: config.dev.proxyTable, + quiet: true, // necessary for FriendlyErrorsPlugin + watchOptions: { + poll: config.dev.poll, + } + }, + plugins: [ + new webpack.DefinePlugin({ + 'process.env': require('../config/dev.env') + }), + new webpack.HotModuleReplacementPlugin(), + new webpack.NamedModulesPlugin(), // HMR shows correct file names in console on update. + new webpack.NoEmitOnErrorsPlugin(), + // https://github.com/ampedandwired/html-webpack-plugin + new HtmlWebpackPlugin({ + filename: 'index.html', + template: 'index.html', + inject: true + }), + ] +}) + +module.exports = new Promise((resolve, reject) => { + portfinder.basePort = process.env.PORT || config.dev.port + portfinder.getPort((err, port) => { + if (err) { + reject(err) + } else { + // publish the new Port, necessary for e2e tests + process.env.PORT = port + // add port to devServer config + devWebpackConfig.devServer.port = port + + // Add FriendlyErrorsPlugin + devWebpackConfig.plugins.push(new FriendlyErrorsPlugin({ + compilationSuccessInfo: { + messages: [`Your application is running here: http://${config.dev.host}:${port}`], + }, + onErrors: config.dev.notifyOnErrors + ? utils.createNotifierCallback() + : undefined + })) + + resolve(devWebpackConfig) + } + }) +}) diff --git a/myproj/build/webpack.prod.conf.js b/myproj/build/webpack.prod.conf.js new file mode 100644 index 0000000000..73a5fbc3d3 --- /dev/null +++ b/myproj/build/webpack.prod.conf.js @@ -0,0 +1,146 @@ +'use strict' +const path = require('path') +const utils = require('./utils') +const webpack = require('webpack') +const config = require('../config') +const merge = require('webpack-merge') +const baseWebpackConfig = require('./webpack.base.conf') +const CopyWebpackPlugin = require('copy-webpack-plugin') +const HtmlWebpackPlugin = require('html-webpack-plugin') +const ExtractTextPlugin = require('extract-text-webpack-plugin') +const OptimizeCSSPlugin = require('optimize-css-assets-webpack-plugin') + +const env = process.env.NODE_ENV === 'testing' + ? require('../config/test.env') + : require('../config/prod.env') + +const webpackConfig = merge(baseWebpackConfig, { + module: { + rules: utils.styleLoaders({ + sourceMap: config.build.productionSourceMap, + extract: true, + usePostCSS: true + }) + }, + devtool: config.build.productionSourceMap ? config.build.devtool : false, + output: { + path: config.build.assetsRoot, + filename: utils.assetsPath('js/[name].[chunkhash].js'), + chunkFilename: utils.assetsPath('js/[id].[chunkhash].js') + }, + plugins: [ + // http://vuejs.github.io/vue-loader/en/workflow/production.html + new webpack.DefinePlugin({ + 'process.env': env + }), + // UglifyJs do not support ES6+, you can also use babel-minify for better treeshaking: https://github.com/babel/minify + new webpack.optimize.UglifyJsPlugin({ + compress: { + warnings: false + }, + sourceMap: config.build.productionSourceMap, + parallel: true + }), + // extract css into its own file + new ExtractTextPlugin({ + filename: utils.assetsPath('css/[name].[contenthash].css'), + // set the following option to `true` if you want to extract CSS from + // codesplit chunks into this main css file as well. + // This will result in *all* of your app's CSS being loaded upfront. + allChunks: false, + }), + // Compress extracted CSS. We are using this plugin so that possible + // duplicated CSS from different components can be deduped. + new OptimizeCSSPlugin({ + cssProcessorOptions: config.build.productionSourceMap + ? { safe: true, map: { inline: false } } + : { safe: true } + }), + // generate dist index.html with correct asset hash for caching. + // you can customize output by editing /index.html + // see https://github.com/ampedandwired/html-webpack-plugin + new HtmlWebpackPlugin({ + filename: process.env.NODE_ENV === 'testing' + ? 'index.html' + : config.build.index, + template: 'index.html', + inject: true, + minify: { + removeComments: true, + collapseWhitespace: true, + removeAttributeQuotes: true + // more options: + // https://github.com/kangax/html-minifier#options-quick-reference + }, + // necessary to consistently work with multiple chunks via CommonsChunkPlugin + chunksSortMode: 'dependency' + }), + // keep module.id stable when vender modules does not change + new webpack.HashedModuleIdsPlugin(), + // enable scope hoisting + new webpack.optimize.ModuleConcatenationPlugin(), + // split vendor js into its own file + new webpack.optimize.CommonsChunkPlugin({ + name: 'vendor', + minChunks: function (module) { + // any required modules inside node_modules are extracted to vendor + return ( + module.resource && + /\.js$/.test(module.resource) && + module.resource.indexOf( + path.join(__dirname, '../node_modules') + ) === 0 + ) + } + }), + // extract webpack runtime and module manifest to its own file in order to + // prevent vendor hash from being updated whenever app bundle is updated + new webpack.optimize.CommonsChunkPlugin({ + name: 'manifest', + minChunks: Infinity + }), + // This instance extracts shared chunks from code splitted chunks and bundles them + // in a separate chunk, similar to the vendor chunk + // see: https://webpack.js.org/plugins/commons-chunk-plugin/#extra-async-commons-chunk + new webpack.optimize.CommonsChunkPlugin({ + name: 'app', + async: 'vendor-async', + children: true, + minChunks: 3 + }), + + // copy custom static assets + new CopyWebpackPlugin([ + { + from: path.resolve(__dirname, '../static'), + to: config.build.assetsSubDirectory, + ignore: ['.*'] + } + ]) + ] +}) + +if (config.build.productionGzip) { + const CompressionWebpackPlugin = require('compression-webpack-plugin') + + webpackConfig.plugins.push( + new CompressionWebpackPlugin({ + asset: '[path].gz[query]', + algorithm: 'gzip', + test: new RegExp( + '\\.(' + + config.build.productionGzipExtensions.join('|') + + ')$' + ), + threshold: 10240, + minRatio: 0.8 + }) + ) +} + +if (config.build.bundleAnalyzerReport) { + const BundleAnalyzerPlugin = require('webpack-bundle-analyzer').BundleAnalyzerPlugin + webpackConfig.plugins.push(new BundleAnalyzerPlugin()) +} + +module.exports = webpackConfig diff --git a/myproj/build/webpack.test.conf.js b/myproj/build/webpack.test.conf.js new file mode 100644 index 0000000000..0d658d9ebe --- /dev/null +++ b/myproj/build/webpack.test.conf.js @@ -0,0 +1,32 @@ +'use strict' +// This is the webpack config used for unit tests. + +const utils = require('./utils') +const webpack = require('webpack') +const merge = require('webpack-merge') +const baseWebpackConfig = require('./webpack.base.conf') + +const webpackConfig = merge(baseWebpackConfig, { + // use inline sourcemap for karma-sourcemap-loader + module: { + rules: utils.styleLoaders() + }, + devtool: '#inline-source-map', + resolveLoader: { + alias: { + // necessary to to make lang="scss" work in test when using vue-loader's ?inject option + // see discussion at https://github.com/vuejs/vue-loader/issues/724 + 'scss-loader': 'sass-loader' + } + }, + plugins: [ + new webpack.DefinePlugin({ + 'process.env': require('../config/test.env') + }) + ] +}) + +// no need for app entry during tests +delete webpackConfig.entry + +module.exports = webpackConfig diff --git a/myproj/config/dev.env.js b/myproj/config/dev.env.js new file mode 100644 index 0000000000..1e22973ae7 --- /dev/null +++ b/myproj/config/dev.env.js @@ -0,0 +1,7 @@ +'use strict' +const merge = require('webpack-merge') +const prodEnv = require('./prod.env') + +module.exports = merge(prodEnv, { + NODE_ENV: '"development"' +}) diff --git a/myproj/config/index.js b/myproj/config/index.js new file mode 100644 index 0000000000..08d4d4d166 --- /dev/null +++ b/myproj/config/index.js @@ -0,0 +1,81 @@ +'use strict' +// Template version: 1.2.4 +// see http://vuejs-templates.github.io/webpack for documentation. + +const path = require('path') + +module.exports = { + dev: { + + // Paths + assetsSubDirectory: 'static', + assetsPublicPath: '/', + proxyTable: {}, + + // Various Dev Server settings + host: 'localhost', // can be overwritten by process.env.HOST + port: 8080, // can be overwritten by process.env.PORT, if port is in use, a free one will be determined + autoOpenBrowser: false, + errorOverlay: true, + notifyOnErrors: true, + poll: false, // https://webpack.js.org/configuration/dev-server/#devserver-watchoptions- + + // Use Eslint Loader? + // If true, your code will be linted during bundling and + // linting errors and warnings will be shown in the console. + useEslint: true, + // If true, eslint errors and warnings will also be shown in the error overlay + // in the browser. + showEslintErrorsInOverlay: false, + + /** + * Source Maps + */ + + // https://webpack.js.org/configuration/devtool/#development + devtool: 'eval-source-map', + + // If you have problems debugging vue-files in devtools, + // set this to false - it *may* help + // https://vue-loader.vuejs.org/en/options.html#cachebusting + cacheBusting: true, + + // CSS Sourcemaps off by default because relative paths are "buggy" + // with this option, according to the CSS-Loader README + // (https://github.com/webpack/css-loader#sourcemaps) + // In our experience, they generally work as expected, + // just be aware of this issue when enabling this option. + cssSourceMap: false, + }, + + build: { + // Template for index.html + index: path.resolve(__dirname, '../dist/index.html'), + + // Paths + assetsRoot: path.resolve(__dirname, '../dist'), + assetsSubDirectory: 'static', + assetsPublicPath: '/', + + /** + * Source Maps + */ + + productionSourceMap: true, + // https://webpack.js.org/configuration/devtool/#production + devtool: '#source-map', + + // Gzip off by default as many popular static hosts such as + // Surge or Netlify already gzip all static assets for you. + // Before setting to `true`, make sure to: + // npm install --save-dev compression-webpack-plugin + productionGzip: false, + productionGzipExtensions: ['js', 'css'], + + // Run the build command with an extra argument to + // View the bundle analyzer report after build finishes: + // `npm run build --report` + // Set to `true` or `false` to always turn it on or off + bundleAnalyzerReport: process.env.npm_config_report + } +} diff --git a/myproj/config/prod.env.js b/myproj/config/prod.env.js new file mode 100644 index 0000000000..a6f997616e --- /dev/null +++ b/myproj/config/prod.env.js @@ -0,0 +1,4 @@ +'use strict' +module.exports = { + NODE_ENV: '"production"' +} diff --git a/myproj/config/test.env.js b/myproj/config/test.env.js new file mode 100644 index 0000000000..c2824a307a --- /dev/null +++ b/myproj/config/test.env.js @@ -0,0 +1,7 @@ +'use strict' +const merge = require('webpack-merge') +const devEnv = require('./dev.env') + +module.exports = merge(devEnv, { + NODE_ENV: '"testing"' +}) diff --git a/myproj/index.html b/myproj/index.html new file mode 100644 index 0000000000..3113802fb7 --- /dev/null +++ b/myproj/index.html @@ -0,0 +1,12 @@ + + + + + + myproj + + +
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+

{{ msg }}

+

Essential Links

+ +

Ecosystem

+ +
+ + + + + + diff --git a/myproj/src/components/Home.vue b/myproj/src/components/Home.vue new file mode 100644 index 0000000000..482da9bdea --- /dev/null +++ b/myproj/src/components/Home.vue @@ -0,0 +1,94 @@ + + + + + \ No newline at end of file diff --git a/myproj/src/main.js b/myproj/src/main.js new file mode 100644 index 0000000000..ec10971436 --- /dev/null +++ b/myproj/src/main.js @@ -0,0 +1,15 @@ +// The Vue build version to load with the `import` command +// (runtime-only or standalone) has been set in webpack.base.conf with an alias. +import Vue from 'vue' +import App from './App' +import router from './router' + +Vue.config.productionTip = false + +/* eslint-disable no-new */ +new Vue({ + el: '#app', + router, + template: '', + components: { App } +}) diff --git a/myproj/src/router/index.js b/myproj/src/router/index.js new file mode 100644 index 0000000000..e551e3b396 --- /dev/null +++ b/myproj/src/router/index.js @@ -0,0 +1,17 @@ +import Vue from 'vue' +import Router from 'vue-router' +import HelloWorld from '../components/HelloWorld' +import {Home} from '../components/Home' + +Vue.use(Router) + +export default new Router({ + routes: [ + { path: '/', component: Home }, + { path: '/HelloWorld', name: 'HelloWorld', component: HelloWorld } + // { path: '/mnist-cnn', component: MnistCnn }, + // { path: '/mnist-vae', component: MnistVae }, + // { path: '/mnist-acgan', component: MnistAcgan }, + // { path: '/resnet50', component: Resnet50 }, + ] +}) diff --git a/myproj/src/variables.css b/myproj/src/variables.css new file mode 100644 index 0000000000..533d09a8b4 --- /dev/null +++ b/myproj/src/variables.css @@ -0,0 +1,15 @@ +:root { + --color-green: #1bbc9b; + --color-green-light: rgba(27, 188, 155, 0.6); + --color-green-lighter: rgba(27, 188, 155, 0.3); + --color-lightgray: #69707a; + --color-darkgray: #393e46; + --color-yellow: #f5d76e; + --color-red: #f22613; + --color-error: #d24d57; + + --font-sans-serif: 'Open Sans', -apple-system, BlinkMacSystemFont, 'Segoe UI', 'Roboto', 'Oxygen', 'Ubuntu', + 'Cantarell', 'Fira Sans', 'Droid Sans', 'Helvetica Neue', sans-serif; + --font-monospace: 'Share Tech Mono', monospace; + --font-cursive: 'Nothing You Could Do', cursive; +} diff --git a/myproj/static/.gitkeep b/myproj/static/.gitkeep new file mode 100644 index 0000000000..e69de29bb2 diff --git a/myproj/test/e2e/custom-assertions/elementCount.js b/myproj/test/e2e/custom-assertions/elementCount.js new file mode 100644 index 0000000000..364e7a469b --- /dev/null +++ b/myproj/test/e2e/custom-assertions/elementCount.js @@ -0,0 +1,27 @@ +// A custom Nightwatch assertion. +// The assertion name is the filename. +// Example usage: +// +// browser.assert.elementCount(selector, count) +// +// For more information on custom assertions see: +// http://nightwatchjs.org/guide#writing-custom-assertions + +exports.assertion = function (selector, count) { + this.message = 'Testing if element <' + selector + '> has count: ' + count + this.expected = count + this.pass = function (val) { + return val === this.expected + } + this.value = function (res) { + return res.value + } + this.command = function (cb) { + var self = this + return this.api.execute(function (selectorToCount) { + return document.querySelectorAll(selectorToCount).length + }, [selector], function (res) { + cb.call(self, res) + }) + } +} diff --git a/myproj/test/e2e/nightwatch.conf.js b/myproj/test/e2e/nightwatch.conf.js new file mode 100644 index 0000000000..f019c0ac44 --- /dev/null +++ b/myproj/test/e2e/nightwatch.conf.js @@ -0,0 +1,46 @@ +require('babel-register') +var config = require('../../config') + +// http://nightwatchjs.org/gettingstarted#settings-file +module.exports = { + src_folders: ['test/e2e/specs'], + output_folder: 'test/e2e/reports', + custom_assertions_path: ['test/e2e/custom-assertions'], + + selenium: { + start_process: true, + server_path: require('selenium-server').path, + host: '127.0.0.1', + port: 4444, + cli_args: { + 'webdriver.chrome.driver': require('chromedriver').path + } + }, + + test_settings: { + default: { + selenium_port: 4444, + selenium_host: 'localhost', + silent: true, + globals: { + devServerURL: 'http://localhost:' + (process.env.PORT || config.dev.port) + } + }, + + chrome: { + desiredCapabilities: { + browserName: 'chrome', + javascriptEnabled: true, + acceptSslCerts: true + } + }, + + firefox: { + desiredCapabilities: { + browserName: 'firefox', + javascriptEnabled: true, + acceptSslCerts: true + } + } + } +} diff --git a/myproj/test/e2e/runner.js b/myproj/test/e2e/runner.js new file mode 100644 index 0000000000..3a02f8e96f --- /dev/null +++ b/myproj/test/e2e/runner.js @@ -0,0 +1,48 @@ +// 1. start the dev server using production config +process.env.NODE_ENV = 'testing' + +const webpack = require('webpack') +const DevServer = require('webpack-dev-server') + +const webpackConfig = require('../../build/webpack.prod.conf') +const devConfigPromise = require('../../build/webpack.dev.conf') + +let server + +devConfigPromise.then(devConfig => { + const devServerOptions = devConfig.devServer + const compiler = webpack(webpackConfig) + server = new DevServer(compiler, devServerOptions) + const port = devServerOptions.port + const host = devServerOptions.host + return server.listen(port, host) +}) +.then(() => { + // 2. run the nightwatch test suite against it + // to run in additional browsers: + // 1. add an entry in test/e2e/nightwatch.conf.json under "test_settings" + // 2. add it to the --env flag below + // or override the environment flag, for example: `npm run e2e -- --env chrome,firefox` + // For more information on Nightwatch's config file, see + // http://nightwatchjs.org/guide#settings-file + let opts = process.argv.slice(2) + if (opts.indexOf('--config') === -1) { + opts = opts.concat(['--config', 'test/e2e/nightwatch.conf.js']) + } + if (opts.indexOf('--env') === -1) { + opts = opts.concat(['--env', 'chrome']) + } + + const spawn = require('cross-spawn') + const runner = spawn('./node_modules/.bin/nightwatch', opts, { stdio: 'inherit' }) + + runner.on('exit', function (code) { + server.close() + process.exit(code) + }) + + runner.on('error', function (err) { + server.close() + throw err + }) +}) diff --git a/myproj/test/e2e/specs/test.js b/myproj/test/e2e/specs/test.js new file mode 100644 index 0000000000..a7b1bd920f --- /dev/null +++ b/myproj/test/e2e/specs/test.js @@ -0,0 +1,19 @@ +// For authoring Nightwatch tests, see +// http://nightwatchjs.org/guide#usage + +module.exports = { + 'default e2e tests': function (browser) { + // automatically uses dev Server port from /config.index.js + // default: http://localhost:8080 + // see nightwatch.conf.js + const devServer = browser.globals.devServerURL + + browser + .url(devServer) + .waitForElementVisible('#app', 5000) + .assert.elementPresent('.hello') + .assert.containsText('h1', 'Welcome to Your Vue.js App') + .assert.elementCount('img', 1) + .end() + } +} diff --git a/myproj/test/unit/.eslintrc b/myproj/test/unit/.eslintrc new file mode 100644 index 0000000000..4d5d98f3e6 --- /dev/null +++ b/myproj/test/unit/.eslintrc @@ -0,0 +1,7 @@ +{ + "env": { + "jest": true + }, + "globals": { + } +} diff --git a/myproj/test/unit/jest.conf.js b/myproj/test/unit/jest.conf.js new file mode 100644 index 0000000000..4f7da1519d --- /dev/null +++ b/myproj/test/unit/jest.conf.js @@ -0,0 +1,30 @@ +const path = require('path') + +module.exports = { + rootDir: path.resolve(__dirname, '../../'), + moduleFileExtensions: [ + 'js', + 'json', + 'vue' + ], + moduleNameMapper: { + '^@/(.*)$': '/src/$1' + }, + transform: { + '^.+\\.js$': '/node_modules/babel-jest', + '.*\\.(vue)$': '/node_modules/vue-jest' + }, + testPathIgnorePatterns: [ + '/test/e2e' + ], + snapshotSerializers: ['/node_modules/jest-serializer-vue'], + setupFiles: ['/test/unit/setup'], + mapCoverage: true, + coverageDirectory: '/test/unit/coverage', + collectCoverageFrom: [ + 'src/**/*.{js,vue}', + '!src/main.js', + '!src/router/index.js', + '!**/node_modules/**' + ] +} diff --git a/myproj/test/unit/setup.js b/myproj/test/unit/setup.js new file mode 100644 index 0000000000..edbdbae81e --- /dev/null +++ b/myproj/test/unit/setup.js @@ -0,0 +1,3 @@ +import Vue from 'vue' + +Vue.config.productionTip = false diff --git a/myproj/test/unit/specs/HelloWorld.spec.js b/myproj/test/unit/specs/HelloWorld.spec.js new file mode 100644 index 0000000000..d3e6a58e98 --- /dev/null +++ b/myproj/test/unit/specs/HelloWorld.spec.js @@ -0,0 +1,11 @@ +import Vue from 'vue' +import HelloWorld from '@/components/HelloWorld' + +describe('HelloWorld.vue', () => { + it('should render correct contents', () => { + const Constructor = Vue.extend(HelloWorld) + const vm = new Constructor().$mount() + expect(vm.$el.querySelector('.hello h1').textContent) + .toEqual('Welcome to Your Vue.js App') + }) +}) From fe1231926ed6d6e335aba71097048e9606ac901a Mon Sep 17 00:00:00 2001 From: Bruce Lao Date: Sat, 2 Dec 2017 01:01:53 -0800 Subject: [PATCH 02/11] temp save --- .vscode/settings.json | 3 +++ myproj/.eslintrc.js | 5 +++++ myproj/index.html | 2 +- myproj/src/App.vue | 3 ++- myproj/src/components/Home.vue | 17 +++++++++-------- myproj/src/main.js | 6 +++--- myproj/src/router/index.js | 9 ++++++--- 7 files changed, 29 insertions(+), 16 deletions(-) create mode 100644 .vscode/settings.json diff --git a/.vscode/settings.json b/.vscode/settings.json new file mode 100644 index 0000000000..544b7b4ddd --- /dev/null +++ b/.vscode/settings.json @@ -0,0 +1,3 @@ +{ + +} \ No newline at end of file diff --git a/myproj/.eslintrc.js b/myproj/.eslintrc.js index e0dd62d911..bdc9487582 100644 --- a/myproj/.eslintrc.js +++ b/myproj/.eslintrc.js @@ -17,6 +17,11 @@ module.exports = { ], // add your custom rules here 'rules': { + + "indent": "off", + + "space-before-blocks": "off", + // allow paren-less arrow functions 'arrow-parens': 0, // allow async-await diff --git a/myproj/index.html b/myproj/index.html index 3113802fb7..aa1bd0a242 100644 --- a/myproj/index.html +++ b/myproj/index.html @@ -6,7 +6,7 @@ myproj -
+
diff --git a/myproj/src/App.vue b/myproj/src/App.vue index 029fb96ac1..35f32805fe 100644 --- a/myproj/src/App.vue +++ b/myproj/src/App.vue @@ -1,6 +1,7 @@ diff --git a/myproj/src/components/Home.vue b/myproj/src/components/Home.vue index 482da9bdea..d3a3d7f810 100644 --- a/myproj/src/components/Home.vue +++ b/myproj/src/components/Home.vue @@ -1,16 +1,17 @@ diff --git a/myproj/src/main.js b/myproj/src/main.js index ec10971436..820f60e4e7 100644 --- a/myproj/src/main.js +++ b/myproj/src/main.js @@ -2,14 +2,14 @@ // (runtime-only or standalone) has been set in webpack.base.conf with an alias. import Vue from 'vue' import App from './App' -import router from './router' +import router2 from './router' Vue.config.productionTip = false /* eslint-disable no-new */ new Vue({ - el: '#app', - router, + el: '#root', + router2, template: '', components: { App } }) diff --git a/myproj/src/router/index.js b/myproj/src/router/index.js index e551e3b396..4d2601c772 100644 --- a/myproj/src/router/index.js +++ b/myproj/src/router/index.js @@ -1,17 +1,20 @@ import Vue from 'vue' import Router from 'vue-router' import HelloWorld from '../components/HelloWorld' -import {Home} from '../components/Home' +import Home from '../components/Home' Vue.use(Router) -export default new Router({ +const routes2 = new Router({ routes: [ { path: '/', component: Home }, - { path: '/HelloWorld', name: 'HelloWorld', component: HelloWorld } + { path: '/HelloWorld', name: 'HelloWorld', component: HelloWorld }, + { path: '/Home', name: 'Home', component: Home } // { path: '/mnist-cnn', component: MnistCnn }, // { path: '/mnist-vae', component: MnistVae }, // { path: '/mnist-acgan', component: MnistAcgan }, // { path: '/resnet50', component: Resnet50 }, ] }) + +export default {routes2}; From 44026386118e3f9405472b8fded8a2afffe46899 Mon Sep 17 00:00:00 2001 From: Bruce Lao Date: Mon, 4 Dec 2017 04:22:39 -0800 Subject: [PATCH 03/11] temp save (not working) --- .babelrc.js | 25 + lib/Layer.js | 55 + lib/Model.js | 493 ++ lib/Tensor.js | 386 ++ lib/WebGL2.js | 281 + lib/activations/elu.js | 25 + lib/activations/hard_sigmoid.js | 27 + lib/activations/index.js | 87 + lib/activations/linear.js | 10 + lib/activations/programSources.js | 26 + lib/activations/relu.js | 38 + lib/activations/selu.js | 23 + lib/activations/sigmoid.js | 21 + lib/activations/softmax.js | 38 + lib/activations/softplus.js | 21 + lib/activations/softsign.js | 21 + lib/activations/tanh.js | 21 + lib/ask.js | 67 - lib/check-version.js | 31 - lib/eval.js | 16 - lib/filter.js | 20 - lib/generate.js | 158 - lib/git-user.js | 15 - lib/index.js | 45 + lib/layers/InputLayer.js | 83 + lib/layers/advanced_activations/ELU.js | 126 + lib/layers/advanced_activations/LeakyReLU.js | 110 + lib/layers/advanced_activations/PReLU.js | 115 + .../advanced_activations/ThresholdedReLU.js | 126 + lib/layers/advanced_activations/index.js | 39 + lib/layers/convolutional/Conv1D.js | 118 + lib/layers/convolutional/Conv2D.js | 457 ++ lib/layers/convolutional/Conv2DTranspose.js | 471 ++ lib/layers/convolutional/Conv3D.js | 476 ++ lib/layers/convolutional/Cropping1D.js | 143 + lib/layers/convolutional/Cropping2D.js | 144 + lib/layers/convolutional/Cropping3D.js | 144 + lib/layers/convolutional/SeparableConv2D.js | 366 ++ lib/layers/convolutional/UpSampling1D.js | 140 + lib/layers/convolutional/UpSampling2D.js | 149 + lib/layers/convolutional/UpSampling3D.js | 153 + lib/layers/convolutional/ZeroPadding1D.js | 145 + lib/layers/convolutional/ZeroPadding2D.js | 146 + lib/layers/convolutional/ZeroPadding3D.js | 146 + lib/layers/convolutional/index.js | 119 + lib/layers/core/Activation.js | 111 + lib/layers/core/Dense.js | 144 + lib/layers/core/Dropout.js | 29 + lib/layers/core/Flatten.js | 128 + lib/layers/core/Permute.js | 194 + lib/layers/core/RepeatVector.js | 87 + lib/layers/core/Reshape.js | 180 + lib/layers/core/SpatialDropout1D.js | 29 + 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src/layers/wrappers/Bidirectional.js create mode 100644 src/layers/wrappers/Bidirectional.mul.glsl create mode 100644 src/layers/wrappers/Bidirectional.sum.glsl create mode 100644 src/layers/wrappers/TimeDistributed.copySliceOutput.glsl create mode 100644 src/layers/wrappers/TimeDistributed.js create mode 100644 src/layers/wrappers/TimeDistributed.mapSliceOutput.glsl create mode 100644 src/layers/wrappers/TimeDistributed.selectSlice.glsl create mode 100644 src/layers/wrappers/index.js create mode 100644 src/proto.js create mode 100644 src/utils/tensorUtils.js create mode 100644 src/utils/testUtils.js create mode 100644 src/visualizations/CAM.js create mode 100644 src/visualizations/index.js create mode 100644 src/webgl/copyTexture.glsl create mode 100644 src/webgl/dynamic/convolutional/conv2d.js create mode 100644 src/webgl/dynamic/convolutional/conv2dTranspose.js create mode 100644 src/webgl/dynamic/createGLSLProgram.js create mode 100644 src/webgl/dynamic/merge/add.js create mode 100644 src/webgl/dynamic/merge/average.js create mode 100644 src/webgl/dynamic/merge/concatenate.js create mode 100644 src/webgl/dynamic/merge/maximum.js create mode 100644 src/webgl/dynamic/merge/minimum.js create mode 100644 src/webgl/dynamic/merge/multiply.js create mode 100644 src/webgl/dynamic/merge/subtract.js create mode 100644 src/webgl/dynamic/visualizations/cam.js create mode 100644 src/webgl/mapInput.fragments.glsl create mode 100644 src/webgl/mapInput.glsl create mode 100644 src/webgl/matMul.glsl create mode 100644 src/webgl/vertexShader.glsl create mode 100644 webpack.config.js diff --git a/.babelrc.js b/.babelrc.js new file mode 100644 index 0000000000..c488d0ab5a --- /dev/null +++ b/.babelrc.js @@ -0,0 +1,25 @@ +const envOpts = {} + +if (process.env.BABEL_ENV === 'node') { + envOpts.targets = { node: 9 } + envOpts.modules = 'commonjs' +} + +if (process.env.BABEL_ENV === 'browser') { + envOpts.targets = { browsers: ['>0.5%'] } + envOpts.modules = false + envOpts.useBuiltIns = 'entry' +} + +const config = { + comments: false, + presets: [['@babel/env', envOpts]], + plugins: [ + ['babel-plugin-inline-import', { extensions: ['.glsl'] }], + 'lodash', + '@babel/proposal-class-properties', + ['@babel/proposal-object-rest-spread', { useBuiltIns: true }] + ] +} + +module.exports = config diff --git a/lib/Layer.js b/lib/Layer.js new file mode 100644 index 0000000000..e218b0e2b3 --- /dev/null +++ b/lib/Layer.js @@ -0,0 +1,55 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _WebGL = require("./WebGL2"); + +class Layer { + constructor(attrs = {}) { + this.layerClass = 'Layer'; + this.name = attrs.name; + this.gpu = _WebGL.webgl2.isSupported && attrs.gpu; + this.params = []; + this.weights = {}; + this.inbound = []; + this.outbound = []; + } + + throwError(message) { + throw new Error(`[${this.layerClass} layer: ${this.name || ''}] ${message}`); + } + + toggleGPU(mode) { + const newMode = typeof mode === 'undefined' ? !this.gpu : mode; + + if (_WebGL.webgl2.isSupported && newMode) { + this.gpu = true; + } else { + this.gpu = false; + } + } + + setWeights(weightsArr, createGLTexture = true) { + this.params.forEach((p, i) => { + this.weights[p] = weightsArr[i]; + + if (this.gpu && createGLTexture) { + this.weights[p].createGLTexture({ + type: '2d', + format: 'float' + }); + } + }); + } + + call(x) { + this.output = x; + return this.output; + } + +} + +exports.default = Layer; \ No newline at end of file diff --git a/lib/Model.js b/lib/Model.js new file mode 100644 index 0000000000..584f591920 --- /dev/null +++ b/lib/Model.js @@ -0,0 +1,493 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _keys2 = _interopRequireDefault(require("lodash/keys")); + +var _isEqual2 = _interopRequireDefault(require("lodash/isEqual")); + +var _map2 = _interopRequireDefault(require("lodash/map")); + +var _every2 = _interopRequireDefault(require("lodash/every")); + +var _find2 = _interopRequireDefault(require("lodash/find")); + +var _bluebird = _interopRequireDefault(require("bluebird")); + +var _axios = _interopRequireDefault(require("axios")); + +var _performanceNow = _interopRequireDefault(require("performance-now")); + +var layers = _interopRequireWildcard(require("./layers")); + +var visMethods = _interopRequireWildcard(require("./visualizations")); + +var _Tensor = _interopRequireDefault(require("./Tensor")); + +var _WebGL = require("./WebGL2"); + +var _proto = _interopRequireDefault(require("./proto")); + +function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } } + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +const axiosSource = _axios.default.CancelToken.source(); + +class Model { + constructor(config = {}) { + const { + filepath = null, + headers = {}, + filesystem = false, + gpu = false, + transferLayerOutputs = false, + pauseAfterLayerCalls = false, + visualizations = [] + } = config; + + if (!filepath) { + throw new Error('[Model] path to protobuf-serialized model definition file is missing.'); + } + + this.filepath = filepath; + this.headers = headers; + this.filesystem = typeof window !== 'undefined' ? false : filesystem; + this.dataRequestProgress = 0; + this.id = null; + this.name = null; + this.kerasVersion = null; + this.backend = null; + this.modelConfig = {}; + this.modelWeights = []; + this.gpu = typeof window !== 'undefined' && _WebGL.webgl2.isSupported ? gpu : false; + this.transferLayerOutputs = transferLayerOutputs; + this.pauseAfterLayerCalls = pauseAfterLayerCalls; + this.modelLayersMap = new Map(); + this.inputTensorsMap = new Map(); + this.inputLayerNames = []; + this.outputLayerNames = []; + this.finishedLayerNames = []; + this.isRunning = false; + this.predictStats = {}; + this.visMap = new Map(); + visualizations.forEach(v => { + if (v in visMethods) { + const visInstance = new visMethods[v]({ + modelLayersMap: this.modelLayersMap, + gpu: this.gpu + }); + this.visMap.set(v, visInstance); + } + }); + this._ready = this._initialize(); + } + + checkGPUSupport() { + return _WebGL.webgl2.isSupported; + } + + ready() { + return this._ready; + } + + _interrupt() { + axiosSource.cancel(); + } + + async _initialize() { + try { + const req = this.filesystem ? this._dataRequestFS() : this._dataRequestHTTP(this.headers); + await req; + } catch (err) { + console.log(err); + + this._interrupt(); + } + + this._buildDAG(); + + this.inputLayerNames.forEach(name => { + const inputLayer = this.modelLayersMap.get(name); + inputLayer.call(this.inputTensorsMap.get(name)); + inputLayer.hasOutput = true; + inputLayer.visited = true; + }); + await this._traverseDAG(this.inputLayerNames); + this.finishedLayerNames = []; + this.modelLayersMap.forEach(layer => { + layer.hasOutput = false; + layer.visited = false; + }); + this.visMap.forEach(visInstance => { + visInstance.initialize(); + }); + return true; + } + + async _dataRequestHTTP(headers = {}) { + try { + const res = await _axios.default.get(this.filepath, { + responseType: 'arraybuffer', + headers, + onDownloadProgress: e => { + if (e.lengthComputable) { + const percentComplete = Math.round(100 * e.loaded / e.total); + this.dataRequestProgress = percentComplete; + } + }, + cancelToken: axiosSource.token + }); + this.decodeProtobuf(new Uint8Array(res.data)); + } catch (err) { + if (_axios.default.isCancel(err)) { + console.log('[Model] Data request canceled', err.message); + } else { + throw err; + } + } + + this.dataRequestProgress = 100; + } + + async _dataRequestFS() { + const readFile = _bluebird.default.promisify(require('fs').readFile); + + try { + const file = await readFile(this.filepath); + this.decodeProtobuf(file); + } catch (err) { + throw err; + } + + this.dataRequestProgress = 100; + } + + decodeProtobuf(buffer) { + const err = _proto.default.Model.verify(buffer); + + if (err) { + throw new Error(`[Model] Invalid model - check protobuf serialization: {err}`); + } + + const model = _proto.default.Model.decode(buffer); + + this.id = model.id; + this.name = model.name; + this.kerasVersion = model.kerasVersion; + this.backend = model.backend; + this.modelConfig = JSON.parse(model.modelConfig); + this.modelWeights = model.modelWeights; + } + + getLoadingProgress() { + return this.dataRequestProgress; + } + + toggleGPU(mode) { + if (typeof mode === 'undefined') { + this.gpu = !this.gpu; + } else { + this.gpu = mode; + } + + this.modelLayersMap.forEach(layer => { + layer.toggleGPU(this.gpu); + }); + this.visMap.forEach(visInstance => { + visInstance.gpu = this.gpu; + }); + this.resetInputTensors(); + } + + resetInputTensors() { + this.inputLayerNames.forEach(name => { + const inputLayer = this.modelLayersMap.get(name); + this.inputTensorsMap.set(name, new _Tensor.default([], inputLayer.shape)); + }); + } + + _buildDAG() { + const modelClass = this.modelConfig.class_name; + let modelConfig = []; + + if (modelClass === 'Sequential') { + modelConfig = this.modelConfig.config; + } else if (modelClass === 'Model') { + modelConfig = this.modelConfig.config.layers; + } + + if (!(Array.isArray(modelConfig) && modelConfig.length)) { + throw new Error('[Model] Model configuration does not contain any layers.'); + } + + modelConfig.forEach((layerDef, index) => { + const layerClass = layerDef.class_name; + const layerConfig = layerDef.config; + + if (modelClass === 'Model' && layerClass === 'Sequential') { + layerConfig.forEach((branchLayerDef, branchIndex) => { + const branchLayerClass = branchLayerDef.class_name; + const branchLayerConfig = branchLayerDef.config; + const branchInboundLayerNames = branchIndex === 0 ? layerDef.inbound_nodes[0].map(node => node[0]) : [layerConfig[branchIndex - 1].config.name]; + + this._createLayer(branchLayerClass, branchLayerConfig, branchInboundLayerNames); + }); + } else if (!(layerClass in layers)) { + throw new Error(`[Model] Layer ${layerClass} specified in model configuration is not implemented!`); + } else { + if (modelClass === 'Sequential' && index === 0) { + const inputName = 'input'; + const inputShape = layerConfig.batch_input_shape.slice(1); + const layer = new layers.InputLayer({ + name: inputName, + shape: inputShape, + gpu: this.gpu + }); + this.modelLayersMap.set(inputName, layer); + this.inputTensorsMap.set(inputName, new _Tensor.default([], inputShape)); + this.inputLayerNames.push(inputName); + } else if (modelClass === 'Model' && layerClass === 'InputLayer') { + const inputShape = layerConfig.batch_input_shape.slice(1); + this.inputTensorsMap.set(layerConfig.name, new _Tensor.default([], inputShape)); + this.inputLayerNames.push(layerConfig.name); + } + + let inboundLayerNames = []; + + if (modelClass === 'Sequential') { + if (index === 0) { + inboundLayerNames = ['input']; + } else { + inboundLayerNames = [modelConfig[index - 1].config.name]; + } + } else if (modelClass === 'Model') { + const inboundNodes = layerDef.inbound_nodes; + + if (inboundNodes && inboundNodes.length) { + inboundLayerNames = inboundNodes[0].map(node => node[0]); + } + } + + this._createLayer(layerClass, layerConfig, inboundLayerNames); + } + }); + this.modelLayersMap.forEach(layer => { + if (layer.outbound.length === 0) { + this.outputLayerNames.push(layer.name); + } + }); + this.inputLayerNames.sort(); + this.outputLayerNames.sort(); + } + + _createLayer(layerClass, layerConfig, inboundLayerNames) { + const layer = new layers[layerClass](Object.assign({}, layerConfig, { + gpu: this.gpu + })); + let weightNames = []; + + if (layerClass === 'Bidirectional') { + const forwardWeightNames = layer.forwardLayer.params.map(param => `${layerConfig.name}/forward_${layerConfig.layer.config.name}/${param}`); + const backwardWeightNames = layer.backwardLayer.params.map(param => `${layerConfig.name}/backward_${layerConfig.layer.config.name}/${param}`); + weightNames = forwardWeightNames.concat(backwardWeightNames); + } else if (layerClass === 'TimeDistributed') { + weightNames = layer.layer.params.map(param => `${layerConfig.name}/${param}`); + } else { + weightNames = layer.params.map(param => `${layerConfig.name}/${param}`); + } + + if (weightNames && weightNames.length) { + const weights = weightNames.map(weightName => { + const weightDef = (0, _find2.default)(this.modelWeights, w => { + const weightRE = new RegExp(`^${weightName}`); + return weightRE.test(w.weightName); + }); + + if (!weightDef) { + throw new Error(`[Model] error loading weights.`); + } + + const { + data, + shape, + type + } = weightDef; + const buf = new ArrayBuffer(data.byteLength); + const arr = new Uint8Array(buf); + arr.set(new Uint8Array(data.buffer, data.byteOffset, data.byteLength)); + + if (type === 'uint8') { + const { + quantizeMin, + quantizeMax + } = weightDef; + const unquantized = new Float32Array(arr); + + for (let i = 0, len = unquantized.length; i < len; i++) { + unquantized[i] *= (quantizeMax - quantizeMin) / 255; + unquantized[i] += quantizeMin; + } + + return new _Tensor.default(unquantized, shape); + } else { + return new _Tensor.default(new Float32Array(buf), shape); + } + }); + layer.setWeights(weights); + } + + this.modelLayersMap.set(layerConfig.name, layer); + inboundLayerNames.forEach(layerName => { + this.modelLayersMap.get(layerConfig.name).inbound.push(layerName); + this.modelLayersMap.get(layerName).outbound.push(layerConfig.name); + }); + } + + async _traverseDAG(nodes) { + if (nodes.length === 0) { + return true; + } else if (nodes.length === 1) { + const node = nodes[0]; + const currentLayer = this.modelLayersMap.get(node); + + if (currentLayer.layerClass === 'InputLayer') { + this.finishedLayerNames.push(this.modelLayersMap.get(node).name); + } else { + const currentLayer = this.modelLayersMap.get(node); + + if (currentLayer.visited) { + return false; + } + + const inboundLayers = currentLayer.inbound.map(n => this.modelLayersMap.get(n)); + + if (!(0, _every2.default)((0, _map2.default)(inboundLayers, 'hasOutput'))) { + return false; + } + + if (currentLayer.isMergeLayer) { + currentLayer.call((0, _map2.default)(inboundLayers, 'output')); + } else { + currentLayer.call(inboundLayers[0].output); + } + + currentLayer.hasOutput = true; + currentLayer.visited = true; + this.finishedLayerNames.push(currentLayer.name); + + if (this.pauseAfterLayerCalls) { + await _bluebird.default.delay(0); + } + } + + await this._traverseDAG(currentLayer.outbound); + } else { + await _bluebird.default.all(nodes.map(node => this._traverseDAG([node]))); + } + } + + _maybeTransferIntermediateOutputs() { + if (this.gpu && this.transferLayerOutputs) { + this.modelLayersMap.forEach(layer => { + if (layer.output && layer.output.glTexture) { + _WebGL.webgl2.bindOutputTexture(layer.output.glTexture, layer.output.glTextureShape); + + layer.output.transferFromGLTexture(); + + if (layer.output.is2DReshaped) { + layer.output.reshapeFrom2D(); + } + } + }); + } + } + + loadData(inputData) { + this.inputLayerNames.forEach(name => { + const inputLayer = this.modelLayersMap.get(name); + this.inputTensorsMap.get(name).replaceTensorData(inputData[name]); + inputLayer.call(this.inputTensorsMap.get(name)); + inputLayer.hasOutput = true; + inputLayer.visited = true; + }); + } + + async predict(inputData) { + this.isRunning = true; + + if (!(0, _isEqual2.default)((0, _keys2.default)(inputData).sort(), this.inputLayerNames)) { + this.isRunning = false; + throw new Error('[Model] predict() must take an object where the keys are the named inputs of the model: ' + JSON.stringify(this.inputLayerNames)); + } + + if (!(0, _every2.default)(this.inputLayerNames, name => inputData[name] instanceof Float32Array)) { + this.isRunning = false; + throw new Error('[Model] predict() must take an object where the values are the flattened data as Float32Array.'); + } + + this.finishedLayerNames = []; + this.modelLayersMap.forEach(layer => { + layer.hasOutput = false; + layer.visited = false; + }); + let start = (0, _performanceNow.default)(); + this.loadData(inputData); + this.predictStats.loadData = (0, _performanceNow.default)() - start; + start = (0, _performanceNow.default)(); + await this._traverseDAG(this.inputLayerNames); + this.predictStats.forwardPass = (0, _performanceNow.default)() - start; + + this._maybeTransferIntermediateOutputs(); + + const modelClass = this.modelConfig.class_name; + const outputData = {}; + + if (modelClass === 'Sequential') { + const outputLayer = this.modelLayersMap.get(this.outputLayerNames[0]); + outputData['output'] = outputLayer.output.tensor.data; + } else if (modelClass === 'Model') { + this.outputLayerNames.forEach(layerName => { + const outputLayer = this.modelLayersMap.get(layerName); + outputData[layerName] = outputLayer.output.tensor.data; + }); + } + + start = (0, _performanceNow.default)(); + this.visMap.forEach(visInstance => { + visInstance.update(); + }); + this.predictStats.visualizations = (0, _performanceNow.default)() - start; + this.isRunning = false; + return outputData; + } + + layerCall(layerName, input) { + if (!this.modelLayersMap.has(layerName)) return; + let x; + + if (input instanceof _Tensor.default) { + x = input; + } else { + x = new _Tensor.default(input.data, input.shape); + } + + const layer = this.modelLayersMap.get(layerName); + return layer.call(x); + } + + cleanup() { + _WebGL.webgl2.clearRefs(); + + this.modelLayersMap.clear(); + this.inputTensorsMap.clear(); + this.visMap.clear(); + delete this.modelWeights; + } + +} + +exports.default = Model; \ No newline at end of file diff --git a/lib/Tensor.js b/lib/Tensor.js new file mode 100644 index 0000000000..b63dc12163 --- /dev/null +++ b/lib/Tensor.js @@ -0,0 +1,386 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _WebGL = require("./WebGL2"); + +var tensorUtils = _interopRequireWildcard(require("./utils/tensorUtils")); + +var _ndarray = _interopRequireDefault(require("ndarray")); + +var _ndarrayOps = _interopRequireDefault(require("ndarray-ops")); + +var _ndarraySqueeze = _interopRequireDefault(require("ndarray-squeeze")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } } + +class Tensor { + constructor(data, shape, options = {}) { + this.arrayType = options.type || Float32Array; + + if (data && data.length && (data instanceof this.arrayType || data instanceof Array)) { + tensorUtils.checkShape(data, shape); + + if (data instanceof this.arrayType) { + this.tensor = (0, _ndarray.default)(data, shape); + } else if (data instanceof Array) { + this.tensor = (0, _ndarray.default)(new this.arrayType(data), shape); + } + } else if (!data.length && shape.length) { + this.tensor = (0, _ndarray.default)(new this.arrayType(shape.reduce((a, b) => a * b, 1)), shape); + } else { + this.tensor = (0, _ndarray.default)(new this.arrayType([]), []); + } + } + + createGLTexture({ + type = '2d', + format = 'float', + supportsTextureFragments = false + }) { + let shape = []; + + if (this.tensor.shape.length === 1) { + shape = [1, this.tensor.shape[0]]; + this.is1D = true; + } else if (this.tensor.shape.length === 2) { + shape = this.tensor.shape; + } else if (this.tensor.shape.length === 3 && (type === '2d_array' || type === '3d')) { + shape = this.tensor.shape; + } else { + throw new Error('[Tensor] cannot create WebGL2 texture.'); + } + + this.glTextureShape = shape; + this.glTextureType = type; + this.glTextureFormat = format; + + if (type === '2d') { + if (this.glTextureShape[0] > _WebGL.MAX_TEXTURE_SIZE && supportsTextureFragments) { + this._create2DRowFragmentedGLTexture(); + } else { + this._create2DGLTexture(); + } + } else if (type === '2d_array' || type === '3d') { + this._create3DGLTexture(); + } else { + throw new Error(`[Tensor] invalid type ${type}.`); + } + } + + _create2DGLTexture() { + const gl = _WebGL.webgl2.context; + + const textureOptions = _WebGL.webgl2.getWebGLTextureOptions(this.glTextureType, this.glTextureFormat); + + const { + textureTarget, + textureInternalFormat, + textureFormat, + textureType + } = textureOptions; + this.glTexture = gl.createTexture(); + + _WebGL.webgl2.storeRef('texture', this.glTexture); + + gl.bindTexture(textureTarget, this.glTexture); + const shape = this.glTextureShape; + const data = this.tensor.data; + gl.texImage2D(textureTarget, 0, textureInternalFormat, shape[1], shape[0], 0, textureFormat, textureType, data); + gl.texParameteri(textureTarget, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE); + gl.texParameteri(textureTarget, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE); + gl.texParameteri(textureTarget, gl.TEXTURE_MAG_FILTER, gl.NEAREST); + gl.texParameteri(textureTarget, gl.TEXTURE_MIN_FILTER, gl.NEAREST); + } + + _create2DRowFragmentedGLTexture() { + const gl = _WebGL.webgl2.context; + + const textureOptions = _WebGL.webgl2.getWebGLTextureOptions(this.glTextureType, this.glTextureFormat); + + const { + textureTarget, + textureInternalFormat, + textureFormat, + textureType + } = textureOptions; + this.glTextureFragments = []; + this.glTextureFragmentShape = [_WebGL.MAX_TEXTURE_SIZE, this.glTextureShape[1]]; + const shape = this.glTextureFragmentShape; + const numFragments = Math.ceil(this.glTextureShape[0] / _WebGL.MAX_TEXTURE_SIZE); + let offset = 0; + + for (let k = 0; k < numFragments; k++) { + const glTexture = gl.createTexture(); + + _WebGL.webgl2.storeRef('texture', glTexture); + + gl.bindTexture(textureTarget, glTexture); + let data; + + if (k === numFragments - 1) { + data = new this.arrayType(shape[0] * shape[1]); + data.set(this.tensor.data.slice(offset, offset + shape[0] * shape[1]), 0); + } else { + data = this.tensor.data.slice(offset, offset + shape[0] * shape[1]); + } + + gl.texImage2D(textureTarget, 0, textureInternalFormat, shape[1], shape[0], 0, textureFormat, textureType, data); + gl.texParameteri(textureTarget, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE); + gl.texParameteri(textureTarget, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE); + gl.texParameteri(textureTarget, gl.TEXTURE_MAG_FILTER, gl.NEAREST); + gl.texParameteri(textureTarget, gl.TEXTURE_MIN_FILTER, gl.NEAREST); + this.glTextureFragments.push(glTexture); + offset += shape[0] * shape[1]; + } + } + + _create3DGLTexture() { + const gl = _WebGL.webgl2.context; + + const textureOptions = _WebGL.webgl2.getWebGLTextureOptions(this.glTextureType, this.glTextureFormat); + + const { + textureTarget, + textureInternalFormat, + textureFormat, + textureType + } = textureOptions; + this.glTexture = gl.createTexture(); + + _WebGL.webgl2.storeRef('texture', this.glTexture); + + gl.bindTexture(textureTarget, this.glTexture); + const shape = this.glTextureShape; + const data = tensorUtils.data3DLayoutForGL(this.arrayType, this.tensor, this.glTextureShape); + gl.texImage3D(textureTarget, 0, textureInternalFormat, shape[1], shape[0], shape[2], 0, textureFormat, textureType, data); + gl.texParameteri(textureTarget, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE); + gl.texParameteri(textureTarget, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE); + gl.texParameteri(textureTarget, gl.TEXTURE_MAG_FILTER, gl.NEAREST); + gl.texParameteri(textureTarget, gl.TEXTURE_MIN_FILTER, gl.NEAREST); + } + + convert2DRowFragmentedGLTextureToColStack() { + if (!this.glTextureFragments || !this.glTextureFragmentShape) { + throw new Error('[Tensor] no glTextureFragments available.'); + } + + const gl = _WebGL.webgl2.context; + + const textureOptions = _WebGL.webgl2.getWebGLTextureOptions(this.glTextureType, this.glTextureFormat); + + const { + textureTarget, + textureInternalFormat, + textureFormat, + textureType + } = textureOptions; + + if (!this.glTextureFragmentsAsColStack) { + this.glTextureFragmentsAsColStack = gl.createTexture(); + + _WebGL.webgl2.storeRef('texture', this.glTextureFragmentsAsColStack); + + gl.bindTexture(textureTarget, this.glTextureFragmentsAsColStack); + const numFragments = this.glTextureFragments.length; + this.glTextureFragmentsAsColStackShape = [this.glTextureFragmentShape[0], this.glTextureFragmentShape[1] * numFragments]; + const shape = this.glTextureFragmentsAsColStackShape; + const data = new this.arrayType(shape.reduce((a, b) => a * b, 1)); + gl.texImage2D(textureTarget, 0, textureInternalFormat, shape[1], shape[0], 0, textureFormat, textureType, data); + gl.texParameteri(textureTarget, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE); + gl.texParameteri(textureTarget, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE); + gl.texParameteri(textureTarget, gl.TEXTURE_MAG_FILTER, gl.NEAREST); + gl.texParameteri(textureTarget, gl.TEXTURE_MIN_FILTER, gl.NEAREST); + } else { + gl.bindTexture(textureTarget, this.glTextureFragmentsAsColStack); + } + + const fbo = gl.createFramebuffer(); + gl.bindFramebuffer(gl.READ_FRAMEBUFFER, fbo); + this.glTextureFragments.forEach((texture, k) => { + gl.framebufferTexture2D(gl.READ_FRAMEBUFFER, gl.COLOR_ATTACHMENT0, gl.TEXTURE_2D, texture, 0); + gl.copyTexSubImage2D(textureTarget, 0, k * this.glTextureFragmentShape[1], 0, 0, 0, this.glTextureFragmentShape[1], this.glTextureFragmentShape[0]); + }); + gl.deleteFramebuffer(fbo); + } + + removeGLTextureFragmentsAsColStack() { + if (this.glTextureFragmentsAsColStack) { + const gl = _WebGL.webgl2.context; + gl.deleteTexture(this.glTextureFragmentsAsColStack); + delete this.glTextureFragmentsAsColStack; + delete this.glTextureFragmentsAsColStackShape; + } + } + + deleteGLTexture() { + const gl = _WebGL.webgl2.context; + + if (this.glTexture) { + gl.deleteTexture(this.glTexture); + delete this.glTexture; + } + + if (this.glTextureFragments) { + this.glTextureFragments.forEach(texture => { + gl.deleteTexture(texture); + }); + delete this.glTextureFragments; + } + } + + replaceTensorData(data) { + if (data && data.length && data instanceof this.arrayType) { + this.tensor.data.set(data); + } else if (data && data.length && data instanceof Array) { + this.tensor.data.set(new this.arrayType(data)); + } else { + throw new Error('[Tensor] invalid input for replaceTensorData method.'); + } + + if (this.glTexture) { + const gl = _WebGL.webgl2.context; + + const textureOptions = _WebGL.webgl2.getWebGLTextureOptions(this.glTextureType, this.glTextureFormat); + + const { + textureTarget, + textureFormat, + textureType + } = textureOptions; + gl.bindTexture(textureTarget, this.glTexture); + const shape = this.glTextureShape; + + if (this.glTextureType === '2d') { + const data = this.tensor.data; + gl.texSubImage2D(textureTarget, 0, 0, 0, shape[1], shape[0], textureFormat, textureType, data, 0); + } else if (this.glTextureType === '2d_array' || this.glTextureType === '3d') { + const data = tensorUtils.data3DLayoutForGL(this.arrayType, this.tensor, shape); + gl.texSubImage3D(textureTarget, 0, 0, 0, 0, shape[1], shape[0], shape[2], textureFormat, textureType, data, 0); + } + } + } + + transferFromGLTexture() { + if (this.glTextureFragments) { + this.tensor = (0, _ndarray.default)(new this.arrayType(this.glTextureShape[0] * this.glTextureShape[1]), this.glTextureShape); + let offset = 0; + + for (let k = 0; k < this.glTextureFragments.length; k++) { + _WebGL.webgl2.bindOutputTexture(this.glTextureFragments[k], this.glTextureFragmentShape); + + const fragmentData = _WebGL.webgl2.readData(this.glTextureFragmentShape); + + if (k === this.glTextureFragments.length - 1) { + const truncate = this.tensor.data.length - offset; + this.tensor.data.set(fragmentData.subarray(0, truncate), offset); + } else { + this.tensor.data.set(fragmentData, offset); + } + + offset += fragmentData.length; + } + } else { + _WebGL.webgl2.bindOutputTexture(this.glTexture, this.glTextureShape); + + this.tensor = (0, _ndarray.default)(new this.arrayType([]), this.glTextureShape); + this.tensor.data = _WebGL.webgl2.readData(this.glTextureShape); + } + + if (this.is1D && this.glTextureShape[0] === 1) { + this.tensor = (0, _ndarraySqueeze.default)(this.tensor, [0]); + } + } + + reshapeTo2D() { + const axis = this.tensor.shape.length - 1; + const axisSize = this.tensor.shape[axis]; + const otherAxes = this.tensor.shape.slice(0, axis); + const otherAxesSize = otherAxes.reduce((a, b) => a * b, 1); + const reshaped = (0, _ndarray.default)(new this.arrayType(otherAxesSize * axisSize), [otherAxesSize, axisSize]); + const otherAxesData = (0, _ndarray.default)(new this.arrayType(otherAxesSize), otherAxes); + const otherAxesDataRaveled = (0, _ndarray.default)(new this.arrayType(otherAxesSize), [otherAxesSize]); + const axisSlices = Array(this.tensor.shape.length).fill(null); + + for (let n = 0; n < axisSize; n++) { + axisSlices[axis] = n; + + _ndarrayOps.default.assign(otherAxesData, this.tensor.pick(...axisSlices)); + + otherAxesDataRaveled.data = otherAxesData.data; + + _ndarrayOps.default.assign(reshaped.pick(null, n), otherAxesDataRaveled); + } + + this.originalShape = this.tensor.shape; + this.indicesForReshaped = tensorUtils.createIndicesFor2DReshaped(this.tensor.shape, false, axis); + this.tensor = reshaped; + this.is2DReshaped = true; + } + + reshapeFrom2D(axis = -1) { + if (!this.is2DReshaped) { + throw new Error('[Tensor] not in reshaped 2D representation.'); + } + + if (!this.originalShape) { + throw new Error('[Tensor] does not contain originalShape.'); + } + + if (axis < 0) { + axis = this.originalShape.length + axis; + } + + const channelDataSize = this.tensor.shape[0]; + const channels = this.tensor.shape[1]; + const reshaped = (0, _ndarray.default)(new this.arrayType(this.originalShape.reduce((a, b) => a * b, 1)), this.originalShape); + const channelDataRaveled = (0, _ndarray.default)(new this.arrayType(channelDataSize), [channelDataSize]); + const unraveledChannelShape = [...this.originalShape.slice(0, axis), ...this.originalShape.slice(axis + 1)]; + const unraveledChannel = (0, _ndarray.default)(new this.arrayType(unraveledChannelShape.reduce((a, b) => a * b, 1)), unraveledChannelShape); + const axisSlices = Array(this.originalShape.length).fill(null); + + for (let n = 0; n < channels; n++) { + _ndarrayOps.default.assign(channelDataRaveled, this.tensor.pick(null, n)); + + unraveledChannel.data = channelDataRaveled.data; + axisSlices[axis] = n; + + _ndarrayOps.default.assign(reshaped.pick(...axisSlices), unraveledChannel); + } + + this.tensor = reshaped; + } + + reshapeTo2DSquare() { + const squareDim = Math.ceil(Math.sqrt(this.tensor.size)); + const reshaped = (0, _ndarray.default)(new this.arrayType(squareDim ** 2), [squareDim, squareDim]); + reshaped.data.set(this.tensor.data); + this.originalShape = this.tensor.shape; + this.indicesForReshaped = tensorUtils.createIndicesFor2DReshaped(this.tensor.shape, true); + this.tensor = reshaped; + this.is2DSquareReshaped = true; + } + + reshapeFrom2DSquare() { + if (!this.is2DSquareReshaped) { + throw new Error('[Tensor] not in reshaped 2D square representation.'); + } + + if (!this.originalShape) { + throw new Error('[Tensor] does not contain originalShape.'); + } + + const size = this.originalShape.reduce((a, b) => a * b, 1); + const reshaped = (0, _ndarray.default)(new this.arrayType(size), this.originalShape); + reshaped.data.set(this.tensor.data.subarray(0, size)); + this.tensor = reshaped; + } + +} + +exports.default = Tensor; \ No newline at end of file diff --git a/lib/WebGL2.js b/lib/WebGL2.js new file mode 100644 index 0000000000..99f0f4897c --- /dev/null +++ b/lib/WebGL2.js @@ -0,0 +1,281 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.MAX_TEXTURE_IMAGE_UNITS = exports.MAX_TEXTURE_SIZE = exports.webgl2 = void 0; +const vertexShaderSource = "#version 300 es\r\nprecision highp float;\r\n\r\nin vec3 position;\r\nin vec2 texcoord;\r\nout vec2 outTex;\r\n\r\nvoid main () {\r\n gl_Position = vec4(position, 1.0);\r\n\toutTex = texcoord;\r\n}\r\n"; + +class WebGL2 { + constructor() { + this.isSupported = false; + this.vertexShader = null; + + if (typeof window !== 'undefined') { + this.canvas = document.createElement('canvas'); + this.context = this.canvas.getContext('webgl2'); + const gl = this.context; + + if (gl) { + this.isSupported = true; + gl.getExtension('EXT_color_buffer_float'); + this.MAX_TEXTURE_SIZE = gl.getParameter(gl.MAX_TEXTURE_SIZE); + this.MAX_TEXTURE_IMAGE_UNITS = gl.getParameter(gl.MAX_TEXTURE_IMAGE_UNITS); + this.init(); + } else { + console.log('Unable to initialize WebGL2 -- your browser may not support it.'); + } + } + + this._refs = { + textures: [], + buffers: [] + }; + } + + init() { + this.createCommonVertexShader(); + } + + createCommonVertexShader() { + const gl = this.context; + const vertexShader = gl.createShader(gl.VERTEX_SHADER); + gl.shaderSource(vertexShader, vertexShaderSource); + gl.compileShader(vertexShader); + const success = gl.getShaderParameter(vertexShader, gl.COMPILE_STATUS); + + if (!success) { + console.error(gl.getShaderInfoLog(vertexShader)); + gl.deleteShader(vertexShader); + this.isSupported = false; + } + + this.vertexShader = vertexShader; + } + + compileProgram(source) { + const gl = this.context; + const fragmentShader = gl.createShader(gl.FRAGMENT_SHADER); + gl.shaderSource(fragmentShader, source); + gl.compileShader(fragmentShader); + let success = gl.getShaderParameter(fragmentShader, gl.COMPILE_STATUS); + + if (!success) { + console.error(gl.getShaderInfoLog(fragmentShader)); + gl.deleteShader(fragmentShader); + this.isSupported = false; + } + + const program = gl.createProgram(); + gl.attachShader(program, this.vertexShader); + gl.attachShader(program, fragmentShader); + gl.linkProgram(program); + success = gl.getProgramParameter(program, gl.LINK_STATUS); + + if (!success) { + console.error(gl.getProgramInfoLog(program)); + this.isSupported = false; + } + + this.setupVertices(program); + return program; + } + + setupVertices(program) { + const gl = this.context; + const position = gl.getAttribLocation(program, 'position'); + const positionVertexObj = gl.createBuffer(); + gl.bindBuffer(gl.ARRAY_BUFFER, positionVertexObj); + this.storeRef('buffer', positionVertexObj); + gl.bufferData(gl.ARRAY_BUFFER, new Float32Array([-1.0, -1.0, 0.0, 1.0, -1.0, 0.0, 1.0, 1.0, 0.0, -1.0, 1.0, 0.0]), gl.STATIC_DRAW); + gl.vertexAttribPointer(position, 3, gl.FLOAT, false, 0, 0); + gl.enableVertexAttribArray(position); + const texcoord = gl.getAttribLocation(program, 'texcoord'); + const texcoordVertexObj = gl.createBuffer(); + gl.bindBuffer(gl.ARRAY_BUFFER, texcoordVertexObj); + gl.bufferData(gl.ARRAY_BUFFER, new Float32Array([0.0, 0.0, 1.0, 0.0, 1.0, 1.0, 0.0, 1.0]), gl.STATIC_DRAW); + gl.vertexAttribPointer(texcoord, 2, gl.FLOAT, false, 0, 0); + gl.enableVertexAttribArray(texcoord); + this.storeRef('buffer', texcoordVertexObj); + const indicesVertexObj = gl.createBuffer(); + gl.bindBuffer(gl.ELEMENT_ARRAY_BUFFER, indicesVertexObj); + gl.bufferData(gl.ELEMENT_ARRAY_BUFFER, new Uint16Array([0, 1, 2, 0, 2, 3]), gl.STATIC_DRAW); + this.storeRef('buffer', indicesVertexObj); + } + + selectProgram(program) { + const gl = this.context; + gl.useProgram(program); + } + + bindUniforms(program, uniforms) { + const gl = this.context; + uniforms.forEach(({ + value, + type, + name + }) => { + const loc = gl.getUniformLocation(program, name); + + if (type === 'float') { + gl.uniform1f(loc, value); + } else if (type === 'int' || type === 'bool') { + gl.uniform1i(loc, value); + } + }); + } + + bindInputTextures(program, inputs, k) { + const gl = this.context; + inputs.forEach(({ + input, + name + }, i) => { + gl.activeTexture(gl.TEXTURE0 + i); + + if (input.glTextureFragments) { + if (input.glTextureFragmentsAsColStack) { + const { + textureTarget + } = this.getWebGLTextureOptions(input.glTextureType, input.glTextureFormat); + gl.bindTexture(textureTarget, input.glTextureFragmentsAsColStack); + } else { + const { + textureTarget + } = this.getWebGLTextureOptions(input.glTextureType, input.glTextureFormat); + gl.bindTexture(textureTarget, input.glTextureFragments[k]); + } + } else { + const { + textureTarget + } = this.getWebGLTextureOptions(input.glTextureType, input.glTextureFormat); + gl.bindTexture(textureTarget, input.glTexture); + } + + gl.uniform1i(gl.getUniformLocation(program, name), i); + }); + } + + bindOutputTexture(outputTexture, shape) { + const gl = this.context; + gl.viewport(0, 0, shape[1], shape[0]); + this.framebuffer = this.framebuffer || gl.createFramebuffer(); + gl.bindFramebuffer(gl.FRAMEBUFFER, this.framebuffer); + gl.framebufferTexture2D(gl.FRAMEBUFFER, gl.COLOR_ATTACHMENT0, gl.TEXTURE_2D, outputTexture, 0); + } + + runProgram({ + program, + output, + inputs, + uniforms, + supportsTextureFragments = false + }) { + if (!program) throw new Error('[WebGL2] missing program'); + if (!output) throw new Error('[WebGL2] missing output'); + if (!inputs) throw new Error('[WebGL2] missing inputs'); + const gl = this.context; + this.selectProgram(program); + + if (uniforms && Array.isArray(uniforms)) { + this.bindUniforms(program, uniforms); + } + + if (output.glTextureFragments) { + if (!supportsTextureFragments) { + throw new Error('[WebGL2] program does not support texture fragments'); + } + + const inputsWithFragments = inputs.filter(obj => obj.input.glTextureFragments && !obj.input.glTextureFragmentsAsColStack); + const numFragments = output.glTextureFragments.length; + + if (inputsWithFragments.some(obj => obj.input.glTextureFragments.length !== numFragments)) { + throw new Error('[WebGL2] number of texture fragments in inputs and output do not match'); + } + + for (let k = 0; k < numFragments; k++) { + this.bindOutputTexture(output.glTextureFragments[k], output.glTextureFragmentShape); + this.bindInputTextures(program, inputs, k); + gl.drawElements(gl.TRIANGLES, 6, gl.UNSIGNED_SHORT, 0); + } + } else { + this.bindOutputTexture(output.glTexture, output.glTextureShape); + this.bindInputTextures(program, inputs); + gl.drawElements(gl.TRIANGLES, 6, gl.UNSIGNED_SHORT, 0); + } + } + + readData(shape) { + const gl = this.context; + const buf = new ArrayBuffer(shape[0] * shape[1] * 4 * 4); + const view = new Float32Array(buf); + gl.readPixels(0, 0, shape[1], shape[0], gl.RGBA, gl.FLOAT, view); + const out = []; + + for (let i = 0; i < view.length; i += 4) { + out.push(view[i]); + } + + return new Float32Array(out); + } + + getWebGLTextureOptions(type, format) { + const gl = this.context; + const targetMap = { + '2d': gl.TEXTURE_2D, + '2d_array': gl.TEXTURE_2D_ARRAY, + '3d': gl.TEXTURE_3D + }; + const internalFormatMap = { + float: gl.R32F, + int: gl.R32I + }; + const formatMap = { + float: gl.RED, + int: gl.RED_INTEGER + }; + const typeMap = { + float: gl.FLOAT, + int: gl.INT + }; + const textureTarget = targetMap[type]; + const textureInternalFormat = internalFormatMap[format]; + const textureFormat = formatMap[format]; + const textureType = typeMap[format]; + return { + textureTarget, + textureInternalFormat, + textureFormat, + textureType + }; + } + + storeRef(type, obj) { + if (type === 'texture') { + this._refs.textures.push(obj); + } else if (type === 'buffer') { + this._refs.buffers.push(obj); + } + } + + clearRefs() { + const gl = this.context; + + this._refs.textures.forEach(texture => gl.deleteTexture(texture)); + + this._refs.buffers.forEach(buffer => gl.deleteBuffer(buffer)); + + this._refs = { + textures: [], + buffers: [] + }; + } + +} + +const webgl2 = new WebGL2(); +exports.webgl2 = webgl2; +const MAX_TEXTURE_SIZE = webgl2.MAX_TEXTURE_SIZE; +exports.MAX_TEXTURE_SIZE = MAX_TEXTURE_SIZE; +const MAX_TEXTURE_IMAGE_UNITS = webgl2.MAX_TEXTURE_IMAGE_UNITS; +exports.MAX_TEXTURE_IMAGE_UNITS = MAX_TEXTURE_IMAGE_UNITS; \ No newline at end of file diff --git a/lib/activations/elu.js b/lib/activations/elu.js new file mode 100644 index 0000000000..477bdb4653 --- /dev/null +++ b/lib/activations/elu.js @@ -0,0 +1,25 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = elu; + +var _cwise = _interopRequireDefault(require("cwise")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +const _elu = (0, _cwise.default)({ + args: ['array', 'scalar'], + body: function (_x, alpha) { + _x = Math.max(_x, 0) + alpha * (Math.exp(Math.min(_x, 0)) - 1); + } +}); + +function elu(x, opts = {}) { + const { + alpha = 1.0 + } = opts; + + _elu(x.tensor, alpha); +} \ No newline at end of file diff --git a/lib/activations/hard_sigmoid.js b/lib/activations/hard_sigmoid.js new file mode 100644 index 0000000000..fbb2fb915f --- /dev/null +++ b/lib/activations/hard_sigmoid.js @@ -0,0 +1,27 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = hard_sigmoid; + +var _cwise = _interopRequireDefault(require("cwise")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +const _hard_sigmoid = (0, _cwise.default)({ + args: ['array'], + body: function (_x) { + _x = _x * 0.2 + 0.5; + + if (_x <= 0) { + _x = 0; + } else if (_x >= 1) { + _x = 1; + } + } +}); + +function hard_sigmoid(x) { + _hard_sigmoid(x.tensor); +} \ No newline at end of file diff --git a/lib/activations/index.js b/lib/activations/index.js new file mode 100644 index 0000000000..01201b9568 --- /dev/null +++ b/lib/activations/index.js @@ -0,0 +1,87 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +Object.defineProperty(exports, "softmax", { + enumerable: true, + get: function () { + return _softmax.default; + } +}); +Object.defineProperty(exports, "elu", { + enumerable: true, + get: function () { + return _elu.default; + } +}); +Object.defineProperty(exports, "selu", { + enumerable: true, + get: function () { + return _selu.default; + } +}); +Object.defineProperty(exports, "softplus", { + enumerable: true, + get: function () { + return _softplus.default; + } +}); +Object.defineProperty(exports, "softsign", { + enumerable: true, + get: function () { + return _softsign.default; + } +}); +Object.defineProperty(exports, "relu", { + enumerable: true, + get: function () { + return _relu.default; + } +}); +Object.defineProperty(exports, "tanh", { + enumerable: true, + get: function () { + return _tanh.default; + } +}); +Object.defineProperty(exports, "sigmoid", { + enumerable: true, + get: function () { + return _sigmoid.default; + } +}); +Object.defineProperty(exports, "hard_sigmoid", { + enumerable: true, + get: function () { + return _hard_sigmoid.default; + } +}); +Object.defineProperty(exports, "linear", { + enumerable: true, + get: function () { + return _linear.default; + } +}); + +var _softmax = _interopRequireDefault(require("./softmax")); + +var _elu = _interopRequireDefault(require("./elu")); + +var _selu = _interopRequireDefault(require("./selu")); + +var _softplus = _interopRequireDefault(require("./softplus")); + +var _softsign = _interopRequireDefault(require("./softsign")); + +var _relu = _interopRequireDefault(require("./relu")); + +var _tanh = _interopRequireDefault(require("./tanh")); + +var _sigmoid = _interopRequireDefault(require("./sigmoid")); + +var _hard_sigmoid = _interopRequireDefault(require("./hard_sigmoid")); + +var _linear = _interopRequireDefault(require("./linear")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } \ No newline at end of file diff --git a/lib/activations/linear.js b/lib/activations/linear.js new file mode 100644 index 0000000000..59fdcc4268 --- /dev/null +++ b/lib/activations/linear.js @@ -0,0 +1,10 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = linear; + +function linear(x) { + return x; +} \ No newline at end of file diff --git a/lib/activations/programSources.js b/lib/activations/programSources.js new file mode 100644 index 0000000000..928a98fec9 --- /dev/null +++ b/lib/activations/programSources.js @@ -0,0 +1,26 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.linear = exports.hard_sigmoid = exports.sigmoid = exports.tanh = exports.relu = exports.softsign = exports.softplus = exports.selu = exports.elu = exports.softmax = void 0; +const softmaxProgramSource = "#version 300 es\r\nprecision highp float;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D x;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n ivec2 size = textureSize(x, 0);\r\n int out_x = int(float(size[0]) * outTex.x);\r\n int out_y = int(float(size[1]) * outTex.y);\r\n\r\n float maxval = 0.0;\r\n for (int i = 0; i < int(size[0]); ++i) {\r\n float val = texelFetch(x, ivec2(i, out_y), 0).r;\r\n if (i == 0 || val > maxval) {\r\n maxval = val;\r\n }\r\n }\r\n\r\n float sum = 0.0;\r\n for (int i = 0; i < int(size[0]); ++i) {\r\n float val = texelFetch(x, ivec2(i, out_y), 0).r;\r\n sum += exp(val - maxval);\r\n }\r\n\r\n outColor = exp(texture(x, vec2(outTex.x, outTex.y)) - maxval) / sum;\r\n}\r\n"; +exports.softmax = softmaxProgramSource; +const eluProgramSource = "#version 300 es\r\nprecision highp float;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D x;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n float alpha = 1.0;\r\n vec4 v = texture(x, vec2(outTex.x, outTex.y));\r\n outColor = max(v, 0.0) + alpha * (exp(min(v, 0.0)) - 1.0);\r\n}\r\n"; +exports.elu = eluProgramSource; +const seluProgramSource = "#version 300 es\r\nprecision highp float;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D x;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n float alpha = 1.6732632423543772848170429916717;\r\n float scale = 1.0507009873554804934193349852946;\r\n vec4 v = texture(x, vec2(outTex.x, outTex.y));\r\n outColor = scale * (max(v, 0.0) + alpha * (exp(min(v, 0.0)) - 1.0));\r\n}\r\n"; +exports.selu = seluProgramSource; +const softplusProgramSource = "#version 300 es\r\nprecision highp float;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D x;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n outColor = log(1.0 + exp(texture(x, vec2(outTex.x, outTex.y))));\r\n}\r\n"; +exports.softplus = softplusProgramSource; +const softsignProgramSource = "#version 300 es\r\nprecision highp float;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D x;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n vec4 v = texture(x, vec2(outTex.x, outTex.y));\r\n v /= 1.0 + abs(v);\r\n outColor = v;\r\n}\r\n"; +exports.softsign = softsignProgramSource; +const reluProgramSource = "#version 300 es\r\nprecision highp float;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D x;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n vec4 v = texture(x, vec2(outTex.x, outTex.y));\r\n outColor = max(v, 0.0);\r\n}\r\n"; +exports.relu = reluProgramSource; +const tanhProgramSource = "#version 300 es\r\nprecision highp float;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D x;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n vec4 v = texture(x, vec2(outTex.x, outTex.y));\r\n outColor = tanh(v);\r\n}\r\n"; +exports.tanh = tanhProgramSource; +const sigmoidProgramSource = "#version 300 es\r\nprecision highp float;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D x;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n outColor = 1.0 / (1.0 + exp(-1.0 * texture(x, vec2(outTex.x, outTex.y))));\r\n}\r\n"; +exports.sigmoid = sigmoidProgramSource; +const hardSigmoidProgramSource = "#version 300 es\r\nprecision highp float;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D x;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n vec4 v = texture(x, vec2(outTex.x, outTex.y));\r\n v = v * 0.2 + 0.5;\r\n v = max(v, 0.0);\r\n v = min(v, 1.0);\r\n outColor = v;\r\n}\r\n"; +exports.hard_sigmoid = hardSigmoidProgramSource; +const linearProgramSource = "#version 300 es\r\nprecision highp float;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D x;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n outColor = texture(x, vec2(outTex.x, outTex.y));\r\n}\r\n"; +exports.linear = linearProgramSource; \ No newline at end of file diff --git a/lib/activations/relu.js b/lib/activations/relu.js new file mode 100644 index 0000000000..8dc861607a --- /dev/null +++ b/lib/activations/relu.js @@ -0,0 +1,38 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = relu; + +var _ndarrayOps = _interopRequireDefault(require("ndarray-ops")); + +var _Tensor = _interopRequireDefault(require("../Tensor")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +function relu(x, opts = {}) { + const { + alpha = 0, + maxValue = null + } = opts; + let neg; + + if (alpha !== 0) { + neg = new _Tensor.default([], x.tensor.shape); + + _ndarrayOps.default.mins(neg.tensor, x.tensor, 0); + + _ndarrayOps.default.mulseq(neg.tensor, alpha); + } + + _ndarrayOps.default.maxseq(x.tensor, 0); + + if (maxValue) { + _ndarrayOps.default.minseq(x.tensor, maxValue); + } + + if (neg) { + _ndarrayOps.default.addeq(x.tensor, neg.tensor); + } +} \ No newline at end of file diff --git a/lib/activations/selu.js b/lib/activations/selu.js new file mode 100644 index 0000000000..56ec53c7cd --- /dev/null +++ b/lib/activations/selu.js @@ -0,0 +1,23 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = selu; + +var _cwise = _interopRequireDefault(require("cwise")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +const _selu = (0, _cwise.default)({ + args: ['array', 'scalar'], + body: function (_x) { + const alpha = 1.6732632423543772848170429916717; + const scale = 1.0507009873554804934193349852946; + _x = scale * (Math.max(_x, 0) + alpha * (Math.exp(Math.min(_x, 0)) - 1)); + } +}); + +function selu(x) { + _selu(x.tensor); +} \ No newline at end of file diff --git a/lib/activations/sigmoid.js b/lib/activations/sigmoid.js new file mode 100644 index 0000000000..c5c124653e --- /dev/null +++ b/lib/activations/sigmoid.js @@ -0,0 +1,21 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = sigmoid; + +var _cwise = _interopRequireDefault(require("cwise")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +const _sigmoid = (0, _cwise.default)({ + args: ['array'], + body: function (_x) { + _x = 1 / (1 + Math.exp(-_x)); + } +}); + +function sigmoid(x) { + _sigmoid(x.tensor); +} \ No newline at end of file diff --git a/lib/activations/softmax.js b/lib/activations/softmax.js new file mode 100644 index 0000000000..98547ada23 --- /dev/null +++ b/lib/activations/softmax.js @@ -0,0 +1,38 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = softmax; + +var _ndarrayOps = _interopRequireDefault(require("ndarray-ops")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +function softmax(x) { + if (x.tensor.shape.length === 1) { + const maxval = _ndarrayOps.default.sup(x.tensor); + + _ndarrayOps.default.subseq(x.tensor, maxval); + + _ndarrayOps.default.expeq(x.tensor); + + const sum = _ndarrayOps.default.sum(x.tensor); + + _ndarrayOps.default.divseq(x.tensor, sum); + } else if (x.tensor.shape.length === 2) { + for (let i = 0; i < x.tensor.shape[0]; i++) { + const maxval = _ndarrayOps.default.sup(x.tensor.pick(i, null)); + + _ndarrayOps.default.subseq(x.tensor.pick(i, null), maxval); + + _ndarrayOps.default.expeq(x.tensor.pick(i, null)); + + const sum = _ndarrayOps.default.sum(x.tensor.pick(i, null)); + + _ndarrayOps.default.divseq(x.tensor.pick(i, null), sum); + } + } else { + throw new Error(`[activations.softmax] tensor shape ${x.tensor.shape} not supported.`); + } +} \ No newline at end of file diff --git a/lib/activations/softplus.js b/lib/activations/softplus.js new file mode 100644 index 0000000000..6affd45ff2 --- /dev/null +++ b/lib/activations/softplus.js @@ -0,0 +1,21 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = softplus; + +var _cwise = _interopRequireDefault(require("cwise")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +const _softplus = (0, _cwise.default)({ + args: ['array'], + body: function (_x) { + _x = Math.log(Math.exp(_x) + 1); + } +}); + +function softplus(x) { + _softplus(x.tensor); +} \ No newline at end of file diff --git a/lib/activations/softsign.js b/lib/activations/softsign.js new file mode 100644 index 0000000000..a4e81e4f83 --- /dev/null +++ b/lib/activations/softsign.js @@ -0,0 +1,21 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = softsign; + +var _cwise = _interopRequireDefault(require("cwise")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +const _softsign = (0, _cwise.default)({ + args: ['array'], + body: function (_x) { + _x /= 1 + Math.abs(_x); + } +}); + +function softsign(x) { + _softsign(x.tensor); +} \ No newline at end of file diff --git a/lib/activations/tanh.js b/lib/activations/tanh.js new file mode 100644 index 0000000000..98f90ed086 --- /dev/null +++ b/lib/activations/tanh.js @@ -0,0 +1,21 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = tanh; + +var _cwise = _interopRequireDefault(require("cwise")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +const _tanh = (0, _cwise.default)({ + args: ['array'], + body: function (_x) { + _x = Math.tanh(_x); + } +}); + +function tanh(x) { + _tanh(x.tensor); +} \ No newline at end of file diff --git a/lib/ask.js b/lib/ask.js deleted file mode 100644 index 9c3be69901..0000000000 --- a/lib/ask.js +++ /dev/null @@ -1,67 +0,0 @@ -const async = require('async') -const inquirer = require('inquirer') -const evaluate = require('./eval') - -// Support types from prompt-for which was used before -const promptMapping = { - string: 'input', - boolean: 'confirm' -} - -/** - * Ask questions, return results. - * - * @param {Object} prompts - * @param {Object} data - * @param {Function} done - */ - -module.exports = function ask (prompts, data, done) { - async.eachSeries(Object.keys(prompts), (key, next) => { - prompt(data, key, prompts[key], next) - }, done) -} - -/** - * Inquirer prompt wrapper. - * - * @param {Object} data - * @param {String} key - * @param {Object} prompt - * @param {Function} done - */ - -function prompt (data, key, prompt, done) { - // skip prompts whose when condition is not met - if (prompt.when && !evaluate(prompt.when, data)) { - return done() - } - - let promptDefault = prompt.default - if (typeof prompt.default === 'function') { - promptDefault = function () { - return prompt.default.bind(this)(data) - } - } - - inquirer.prompt([{ - type: promptMapping[prompt.type] || prompt.type, - name: key, - message: prompt.message || prompt.label || key, - default: promptDefault, - choices: prompt.choices || [], - validate: prompt.validate || (() => true) - }]).then(answers => { - if (Array.isArray(answers[key])) { - data[key] = {} - answers[key].forEach(multiChoiceAnswer => { - data[key][multiChoiceAnswer] = true - }) - } else if (typeof answers[key] === 'string') { - data[key] = answers[key].replace(/"/g, '\\"') - } else { - data[key] = answers[key] - } - done() - }).catch(done) -} diff --git a/lib/check-version.js b/lib/check-version.js deleted file mode 100644 index 98f20ac834..0000000000 --- a/lib/check-version.js +++ /dev/null @@ -1,31 +0,0 @@ -const request = require('request') -const semver = require('semver') -const chalk = require('chalk') -const packageConfig = require('../package.json') - -module.exports = done => { - // Ensure minimum supported node version is used - if (!semver.satisfies(process.version, packageConfig.engines.node)) { - return console.log(chalk.red( - ' You must upgrade node to >=' + packageConfig.engines.node + '.x to use vue-cli' - )) - } - - request({ - url: 'https://registry.npmjs.org/vue-cli', - timeout: 1000 - }, (err, res, body) => { - if (!err && res.statusCode === 200) { - const latestVersion = JSON.parse(body)['dist-tags'].latest - const localVersion = packageConfig.version - if (semver.lt(localVersion, latestVersion)) { - console.log(chalk.yellow(' A newer version of vue-cli is available.')) - console.log() - console.log(' latest: ' + chalk.green(latestVersion)) - console.log(' installed: ' + chalk.red(localVersion)) - console.log() - } - } - done() - }) -} diff --git a/lib/eval.js b/lib/eval.js deleted file mode 100644 index 1e5787ca01..0000000000 --- a/lib/eval.js +++ /dev/null @@ -1,16 +0,0 @@ -const chalk = require('chalk') - -/** - * Evaluate an expression in meta.json in the context of - * prompt answers data. - */ - -module.exports = function evaluate (exp, data) { - /* eslint-disable no-new-func */ - const fn = new Function('data', 'with (data) { return ' + exp + '}') - try { - return fn(data) - } catch (e) { - console.error(chalk.red('Error when evaluating filter condition: ' + exp)) - } -} diff --git a/lib/filter.js b/lib/filter.js deleted file mode 100644 index 5cbadb0063..0000000000 --- a/lib/filter.js +++ /dev/null @@ -1,20 +0,0 @@ -const match = require('minimatch') -const evaluate = require('./eval') - -module.exports = (files, filters, data, done) => { - if (!filters) { - return done() - } - const fileNames = Object.keys(files) - Object.keys(filters).forEach(glob => { - fileNames.forEach(file => { - if (match(file, glob, { dot: true })) { - const condition = filters[glob] - if (!evaluate(condition, data)) { - delete files[file] - } - } - }) - }) - done() -} diff --git a/lib/generate.js b/lib/generate.js deleted file mode 100644 index 8493f96f74..0000000000 --- a/lib/generate.js +++ /dev/null @@ -1,158 +0,0 @@ -const chalk = require('chalk') -const Metalsmith = require('metalsmith') -const Handlebars = require('handlebars') -const async = require('async') -const render = require('consolidate').handlebars.render -const path = require('path') -const multimatch = require('multimatch') -const getOptions = require('./options') -const ask = require('./ask') -const filter = require('./filter') -const logger = require('./logger') - -// register handlebars helper -Handlebars.registerHelper('if_eq', function (a, b, opts) { - return a === b - ? opts.fn(this) - : opts.inverse(this) -}) - -Handlebars.registerHelper('unless_eq', function (a, b, opts) { - return a === b - ? opts.inverse(this) - : opts.fn(this) -}) - -/** - * Generate a template given a `src` and `dest`. - * - * @param {String} name - * @param {String} src - * @param {String} dest - * @param {Function} done - */ - -module.exports = function generate (name, src, dest, done) { - const opts = getOptions(name, src) - const metalsmith = Metalsmith(path.join(src, 'template')) - const data = Object.assign(metalsmith.metadata(), { - destDirName: name, - inPlace: dest === process.cwd(), - noEscape: true - }) - opts.helpers && Object.keys(opts.helpers).map(key => { - Handlebars.registerHelper(key, opts.helpers[key]) - }) - - const helpers = { chalk, logger } - - if (opts.metalsmith && typeof opts.metalsmith.before === 'function') { - opts.metalsmith.before(metalsmith, opts, helpers) - } - - metalsmith.use(askQuestions(opts.prompts)) - .use(filterFiles(opts.filters)) - .use(renderTemplateFiles(opts.skipInterpolation)) - - if (typeof opts.metalsmith === 'function') { - opts.metalsmith(metalsmith, opts, helpers) - } else if (opts.metalsmith && typeof opts.metalsmith.after === 'function') { - opts.metalsmith.after(metalsmith, opts, helpers) - } - - metalsmith.clean(false) - .source('.') // start from template root instead of `./src` which is Metalsmith's default for `source` - .destination(dest) - .build((err, files) => { - done(err) - if (typeof opts.complete === 'function') { - const helpers = { chalk, logger, files } - opts.complete(data, helpers) - } else { - logMessage(opts.completeMessage, data) - } - }) - - return data -} - -/** - * Create a middleware for asking questions. - * - * @param {Object} prompts - * @return {Function} - */ - -function askQuestions (prompts) { - return (files, metalsmith, done) => { - ask(prompts, metalsmith.metadata(), done) - } -} - -/** - * Create a middleware for filtering files. - * - * @param {Object} filters - * @return {Function} - */ - -function filterFiles (filters) { - return (files, metalsmith, done) => { - filter(files, filters, metalsmith.metadata(), done) - } -} - -/** - * Template in place plugin. - * - * @param {Object} files - * @param {Metalsmith} metalsmith - * @param {Function} done - */ - -function renderTemplateFiles (skipInterpolation) { - skipInterpolation = typeof skipInterpolation === 'string' - ? [skipInterpolation] - : skipInterpolation - return (files, metalsmith, done) => { - const keys = Object.keys(files) - const metalsmithMetadata = metalsmith.metadata() - async.each(keys, (file, next) => { - // skipping files with skipInterpolation option - if (skipInterpolation && multimatch([file], skipInterpolation, { dot: true }).length) { - return next() - } - const str = files[file].contents.toString() - // do not attempt to render files that do not have mustaches - if (!/{{([^{}]+)}}/g.test(str)) { - return next() - } - render(str, metalsmithMetadata, (err, res) => { - if (err) { - err.message = `[${file}] ${err.message}` - return next(err) - } - files[file].contents = new Buffer(res) - next() - }) - }, done) - } -} - -/** - * Display template complete message. - * - * @param {String} message - * @param {Object} data - */ - -function logMessage (message, data) { - if (!message) return - render(message, data, (err, res) => { - if (err) { - console.error('\n Error when rendering template complete message: ' + err.message.trim()) - } else { - console.log('\n' + res.split(/\r?\n/g).map(line => ' ' + line).join('\n')) - } - }) -} diff --git a/lib/git-user.js b/lib/git-user.js deleted file mode 100644 index 4583b0f9f0..0000000000 --- a/lib/git-user.js +++ /dev/null @@ -1,15 +0,0 @@ -const exec = require('child_process').execSync - -module.exports = () => { - let name - let email - - try { - name = exec('git config --get user.name') - email = exec('git config --get user.email') - } catch (e) {} - - name = name && JSON.stringify(name.toString().trim()).slice(1, -1) - email = email && (' <' + email.toString().trim() + '>') - return (name || '') + (email || '') -} diff --git a/lib/index.js b/lib/index.js new file mode 100644 index 0000000000..1908517b5f --- /dev/null +++ b/lib/index.js @@ -0,0 +1,45 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +Object.defineProperty(exports, "Model", { + enumerable: true, + get: function () { + return _Model.default; + } +}); +Object.defineProperty(exports, "Tensor", { + enumerable: true, + get: function () { + return _Tensor.default; + } +}); +exports.testUtils = exports.layers = exports.activations = exports.GPU_SUPPORT = void 0; + +require("@babel/polyfill"); + +var _Model = _interopRequireDefault(require("./Model")); + +var _Tensor = _interopRequireDefault(require("./Tensor")); + +var _WebGL = require("./WebGL2"); + +var activations = _interopRequireWildcard(require("./activations")); + +exports.activations = activations; + +var layers = _interopRequireWildcard(require("./layers")); + +exports.layers = layers; + +var testUtils = _interopRequireWildcard(require("./utils/testUtils")); + +exports.testUtils = testUtils; + +function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } } + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +const GPU_SUPPORT = _WebGL.webgl2.isSupported; +exports.GPU_SUPPORT = GPU_SUPPORT; \ No newline at end of file diff --git a/lib/layers/InputLayer.js b/lib/layers/InputLayer.js new file mode 100644 index 0000000000..765af7a558 --- /dev/null +++ b/lib/layers/InputLayer.js @@ -0,0 +1,83 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _isEqual2 = _interopRequireDefault(require("lodash/isEqual")); + +var _Layer = _interopRequireDefault(require("../Layer")); + +var _Tensor = _interopRequireDefault(require("../Tensor")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +class InputLayer extends _Layer.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = 'InputLayer'; + const { + shape = [] + } = attrs; + this.shape = attrs.batch_input_shape && attrs.batch_input_shape.length ? attrs.batch_input_shape.slice(1) : shape; + } + + call(x) { + if (this.gpu) { + this._callGPU(x); + } else { + this._callCPU(x); + } + + return this.output; + } + + _callCPU(x) { + this.inputShape = x.tensor.shape; + + if (!(0, _isEqual2.default)(this.inputShape, this.shape)) { + this.throwError(`input tensor shape ${x.tensor.shape} does not match specified shape ${this.shape}.`); + } + + this.output = new _Tensor.default(x.tensor.data, x.tensor.shape); + } + + _callGPU(x) { + if (!x.glTexture && !x.glTextureFragments) { + this.inputShape = x.tensor.shape; + } else { + if (x.is2DReshaped || x.is2DSquareReshaped) { + this.inputShape = x.originalShape; + } else { + this.inputShape = x.tensor.shape; + } + } + + if (!(0, _isEqual2.default)(this.inputShape, this.shape)) { + this.throwError(`input tensor shape ${x.tensor.shape} does not match specified shape ${this.shape}.`); + } + + if (!x.glTexture) { + if (x.tensor.shape.length <= 2) { + x.createGLTexture({ + type: '2d', + format: 'float', + supportsTextureFragments: true + }); + } else if (x.tensor.shape.length > 2) { + x.reshapeTo2D(); + x.createGLTexture({ + type: '2d', + format: 'float', + supportsTextureFragments: true + }); + } + } + + this.output = x; + } + +} + +exports.default = InputLayer; \ No newline at end of file diff --git a/lib/layers/advanced_activations/ELU.js b/lib/layers/advanced_activations/ELU.js new file mode 100644 index 0000000000..9ab1acb687 --- /dev/null +++ b/lib/layers/advanced_activations/ELU.js @@ -0,0 +1,126 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _Layer = _interopRequireDefault(require("../../Layer")); + +var _Tensor = _interopRequireDefault(require("../../Tensor")); + +var _WebGL = require("../../WebGL2"); + +var _cwise = _interopRequireDefault(require("cwise")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +const programSource = "#version 300 es\r\nprecision highp float;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D x;\r\nuniform float alpha;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n vec4 v = texture(x, vec2(outTex.x, outTex.y));\r\n outColor = max(v, 0.0) + alpha * (exp(min(v, 0.0)) - 1.0);\r\n}\r\n"; + +class ELU extends _Layer.default { + constructor(attrs = {}) { + super(attrs); + + _initialiseProps.call(this); + + this.layerClass = 'ELU'; + const { + alpha = 1.0 + } = attrs; + this.alpha = alpha; + + if (this.gpu) { + this.program = _WebGL.webgl2.compileProgram(programSource); + } + } + + call(x) { + if (this.gpu) { + this._callGPU(x); + } else { + this._callCPU(x); + } + + return this.output; + } + + _callCPU(x) { + this.output = x; + + this._compute(this.output.tensor, this.alpha); + } + + _callGPU(x) { + if (!x.glTexture && !x.glTextureFragments) { + x.createGLTexture({ + type: '2d', + format: 'float', + supportsTextureFragments: true + }); + } + + if (!this.output) { + this.output = new _Tensor.default([], x.glTextureShape); + this.output.createGLTexture({ + type: '2d', + format: 'float', + supportsTextureFragments: true + }); + + if (x.is1D) { + this.output.is1D = x.is1D; + } else if (x.is2DReshaped || x.is2DSquareReshaped) { + if (x.is2DReshaped) { + this.output.is2DReshaped = x.is2DReshaped; + } else if (x.is2DSquareReshaped) { + this.output.is2DSquareReshaped = x.is2DSquareReshaped; + } + + this.output.originalShape = x.originalShape; + this.output.indicesForReshaped = x.indicesForReshaped; + } + } + + _WebGL.webgl2.runProgram({ + program: this.program, + output: this.output, + inputs: [{ + input: x, + name: 'x' + }], + uniforms: [{ + value: this.alpha, + type: 'float', + name: 'alpha' + }], + supportsTextureFragments: true + }); + + if (this.outbound.length === 0) { + this.output.transferFromGLTexture(); + + if (this.output.is2DReshaped) { + this.output.reshapeFrom2D(); + } else if (this.output.is2DSquareReshaped) { + this.output.reshapeFrom2DSquare(); + } + } + } + +} + +exports.default = ELU; + +var _initialiseProps = function () { + Object.defineProperty(this, "_compute", { + configurable: true, + enumerable: true, + writable: true, + value: (0, _cwise.default)({ + args: ['array', 'scalar'], + body: function (_x, alpha) { + _x = Math.max(_x, 0) + alpha * (Math.exp(Math.min(_x, 0)) - 1); + } + }) + }); +}; \ No newline at end of file diff --git a/lib/layers/advanced_activations/LeakyReLU.js b/lib/layers/advanced_activations/LeakyReLU.js new file mode 100644 index 0000000000..7c5a9bf761 --- /dev/null +++ b/lib/layers/advanced_activations/LeakyReLU.js @@ -0,0 +1,110 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _Layer = _interopRequireDefault(require("../../Layer")); + +var _Tensor = _interopRequireDefault(require("../../Tensor")); + +var _WebGL = require("../../WebGL2"); + +var _activations = require("../../activations"); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +const programSource = "#version 300 es\r\nprecision highp float;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D x;\r\nuniform float alpha;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n vec4 v = texture(x, vec2(outTex.x, outTex.y));\r\n outColor = max(v, 0.0) + alpha * min(v, 0.0);\r\n}\r\n"; + +class LeakyReLU extends _Layer.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = 'LeakyReLU'; + const { + alpha = 0.3 + } = attrs; + this.alpha = alpha; + + if (this.gpu) { + this.program = _WebGL.webgl2.compileProgram(programSource); + } + } + + call(x) { + if (this.gpu) { + this._callGPU(x); + } else { + this._callCPU(x); + } + + return this.output; + } + + _callCPU(x) { + this.output = x; + (0, _activations.relu)(this.output, { + alpha: this.alpha + }); + } + + _callGPU(x) { + if (!x.glTexture && !x.glTextureFragments) { + x.createGLTexture({ + type: '2d', + format: 'float', + supportsTextureFragments: true + }); + } + + if (!this.output) { + this.output = new _Tensor.default([], x.glTextureShape); + this.output.createGLTexture({ + type: '2d', + format: 'float', + supportsTextureFragments: true + }); + + if (x.is1D) { + this.output.is1D = x.is1D; + } else if (x.is2DReshaped || x.is2DSquareReshaped) { + if (x.is2DReshaped) { + this.output.is2DReshaped = x.is2DReshaped; + } else if (x.is2DSquareReshaped) { + this.output.is2DSquareReshaped = x.is2DSquareReshaped; + } + + this.output.originalShape = x.originalShape; + this.output.indicesForReshaped = x.indicesForReshaped; + } + } + + _WebGL.webgl2.runProgram({ + program: this.program, + output: this.output, + inputs: [{ + input: x, + name: 'x' + }], + uniforms: [{ + value: this.alpha, + type: 'float', + name: 'alpha' + }], + supportsTextureFragments: true + }); + + if (this.outbound.length === 0) { + this.output.transferFromGLTexture(); + + if (this.output.is2DReshaped) { + this.output.reshapeFrom2D(); + } else if (this.output.is2DSquareReshaped) { + this.output.reshapeFrom2DSquare(); + } + } + } + +} + +exports.default = LeakyReLU; \ No newline at end of file diff --git a/lib/layers/advanced_activations/PReLU.js b/lib/layers/advanced_activations/PReLU.js new file mode 100644 index 0000000000..7ad0ba94bb --- /dev/null +++ b/lib/layers/advanced_activations/PReLU.js @@ -0,0 +1,115 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _Layer = _interopRequireDefault(require("../../Layer")); + +var _Tensor = _interopRequireDefault(require("../../Tensor")); + +var _WebGL = require("../../WebGL2"); + +var _cwise = _interopRequireDefault(require("cwise")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +const programSource = "#version 300 es\r\nprecision highp float;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D x;\r\nuniform sampler2D alpha;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n vec4 v = texture(x, vec2(outTex.x, outTex.y));\r\n vec4 a = texture(alpha, vec2(outTex.x, outTex.y));\r\n outColor = max(v, 0.0) + a * min(v, 0.0);\r\n}\r\n"; + +class PReLU extends _Layer.default { + constructor(attrs = {}) { + super(attrs); + Object.defineProperty(this, "_compute", { + configurable: true, + enumerable: true, + writable: true, + value: (0, _cwise.default)({ + args: ['array', 'array'], + body: function (_x, alpha) { + _x = Math.max(_x, 0) + alpha * Math.min(_x, 0); + } + }) + }); + this.layerClass = 'PReLU'; + this.params = ['alpha']; + + if (this.gpu) { + this.program = _WebGL.webgl2.compileProgram(programSource); + } + } + + call(x) { + if (this.gpu) { + this._callGPU(x); + } else { + this._callCPU(x); + } + + return this.output; + } + + _callCPU(x) { + this.output = x; + + this._compute(this.output.tensor, this.weights['alpha'].tensor); + } + + _callGPU(x) { + if (!x.glTexture && !x.glTextureFragments) { + x.createGLTexture({ + type: '2d', + format: 'float', + supportsTextureFragments: true + }); + } + + if (!this.output) { + this.output = new _Tensor.default([], x.glTextureShape); + this.output.createGLTexture({ + type: '2d', + format: 'float', + supportsTextureFragments: true + }); + + if (x.is1D) { + this.output.is1D = x.is1D; + } else if (x.is2DReshaped || x.is2DSquareReshaped) { + if (x.is2DReshaped) { + this.output.is2DReshaped = x.is2DReshaped; + } else if (x.is2DSquareReshaped) { + this.output.is2DSquareReshaped = x.is2DSquareReshaped; + } + + this.output.originalShape = x.originalShape; + this.output.indicesForReshaped = x.indicesForReshaped; + } + } + + _WebGL.webgl2.runProgram({ + program: this.program, + output: this.output, + inputs: [{ + input: x, + name: 'x' + }, { + input: this.weights['alpha'], + name: 'alpha' + }], + supportsTextureFragments: true + }); + + if (this.outbound.length === 0) { + this.output.transferFromGLTexture(); + + if (this.output.is2DReshaped) { + this.output.reshapeFrom2D(); + } else if (this.output.is2DSquareReshaped) { + this.output.reshapeFrom2DSquare(); + } + } + } + +} + +exports.default = PReLU; \ No newline at end of file diff --git a/lib/layers/advanced_activations/ThresholdedReLU.js b/lib/layers/advanced_activations/ThresholdedReLU.js new file mode 100644 index 0000000000..a909c56d3c --- /dev/null +++ b/lib/layers/advanced_activations/ThresholdedReLU.js @@ -0,0 +1,126 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _Layer = _interopRequireDefault(require("../../Layer")); + +var _Tensor = _interopRequireDefault(require("../../Tensor")); + +var _WebGL = require("../../WebGL2"); + +var _cwise = _interopRequireDefault(require("cwise")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +const programSource = "#version 300 es\r\nprecision highp float;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D x;\r\nuniform float theta;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n vec4 v = texture(x, vec2(outTex.x, outTex.y));\r\n outColor = v * float(greaterThan(v, vec4(theta)));\r\n}\r\n"; + +class ThresholdedReLU extends _Layer.default { + constructor(attrs = {}) { + super(attrs); + + _initialiseProps.call(this); + + this.layerClass = 'ThresholdedReLU'; + const { + theta = 1 + } = attrs; + this.theta = theta; + + if (this.gpu) { + this.program = _WebGL.webgl2.compileProgram(programSource); + } + } + + call(x) { + if (this.gpu) { + this._callGPU(x); + } else { + this._callCPU(x); + } + + return this.output; + } + + _callCPU(x) { + this.output = x; + + this._compute(this.output.tensor, this.theta); + } + + _callGPU(x) { + if (!x.glTexture && !x.glTextureFragments) { + x.createGLTexture({ + type: '2d', + format: 'float', + supportsTextureFragments: true + }); + } + + if (!this.output) { + this.output = new _Tensor.default([], x.glTextureShape); + this.output.createGLTexture({ + type: '2d', + format: 'float', + supportsTextureFragments: true + }); + + if (x.is1D) { + this.output.is1D = x.is1D; + } else if (x.is2DReshaped || x.is2DSquareReshaped) { + if (x.is2DReshaped) { + this.output.is2DReshaped = x.is2DReshaped; + } else if (x.is2DSquareReshaped) { + this.output.is2DSquareReshaped = x.is2DSquareReshaped; + } + + this.output.originalShape = x.originalShape; + this.output.indicesForReshaped = x.indicesForReshaped; + } + } + + _WebGL.webgl2.runProgram({ + program: this.program, + output: this.output, + inputs: [{ + input: x, + name: 'x' + }], + uniforms: [{ + value: this.theta, + type: 'float', + name: 'theta' + }], + supportsTextureFragments: true + }); + + if (this.outbound.length === 0) { + this.output.transferFromGLTexture(); + + if (this.output.is2DReshaped) { + this.output.reshapeFrom2D(); + } else if (this.output.is2DSquareReshaped) { + this.output.reshapeFrom2DSquare(); + } + } + } + +} + +exports.default = ThresholdedReLU; + +var _initialiseProps = function () { + Object.defineProperty(this, "_compute", { + configurable: true, + enumerable: true, + writable: true, + value: (0, _cwise.default)({ + args: ['array', 'scalar'], + body: function (_x, theta) { + _x = _x * Number(_x > theta); + } + }) + }); +}; \ No newline at end of file diff --git a/lib/layers/advanced_activations/index.js b/lib/layers/advanced_activations/index.js new file mode 100644 index 0000000000..2acd8b6d96 --- /dev/null +++ b/lib/layers/advanced_activations/index.js @@ -0,0 +1,39 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +Object.defineProperty(exports, "LeakyReLU", { + enumerable: true, + get: function () { + return _LeakyReLU.default; + } +}); +Object.defineProperty(exports, "PReLU", { + enumerable: true, + get: function () { + return _PReLU.default; + } +}); +Object.defineProperty(exports, "ELU", { + enumerable: true, + get: function () { + return _ELU.default; + } +}); +Object.defineProperty(exports, "ThresholdedReLU", { + enumerable: true, + get: function () { + return _ThresholdedReLU.default; + } +}); + +var _LeakyReLU = _interopRequireDefault(require("./LeakyReLU")); + +var _PReLU = _interopRequireDefault(require("./PReLU")); + +var _ELU = _interopRequireDefault(require("./ELU")); + +var _ThresholdedReLU = _interopRequireDefault(require("./ThresholdedReLU")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } \ No newline at end of file diff --git a/lib/layers/convolutional/Conv1D.js b/lib/layers/convolutional/Conv1D.js new file mode 100644 index 0000000000..3636d59a49 --- /dev/null +++ b/lib/layers/convolutional/Conv1D.js @@ -0,0 +1,118 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _Layer = _interopRequireDefault(require("../../Layer")); + +var _Tensor = _interopRequireDefault(require("../../Tensor")); + +var _Conv2D = _interopRequireDefault(require("./Conv2D")); + +var tensorUtils = _interopRequireWildcard(require("../../utils/tensorUtils")); + +var _ndarrayOps = _interopRequireDefault(require("ndarray-ops")); + +var _ndarraySqueeze = _interopRequireDefault(require("ndarray-squeeze")); + +var _ndarrayUnsqueeze = _interopRequireDefault(require("ndarray-unsqueeze")); + +function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } } + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +class Conv1D extends _Layer.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = 'Conv1D'; + const { + filters = 1, + kernel_size = 1, + strides = 1, + padding = 'valid', + dilation_rate = 1, + activation = 'linear', + use_bias = true + } = attrs; + + if (padding !== 'valid' && padding !== 'same') { + this.throwError('Invalid padding.'); + } + + if (dilation_rate !== 1 && strides !== 1) { + this.throwError('Incompatible combination of dilation_rate with strides.'); + } + + this.use_bias = use_bias; + this.params = this.use_bias ? ['kernel', 'bias'] : ['kernel']; + const conv2dAttrs = { + filters, + kernel_size: [kernel_size, 1], + strides: [strides, 1], + padding, + data_format: 'channels_first', + dilation_rate, + activation, + use_bias + }; + this._conv2dAttrs = conv2dAttrs; + this._conv2d = new _Conv2D.default(Object.assign(conv2dAttrs, { + gpu: attrs.gpu + })); + } + + setWeights(weightsArr) { + weightsArr[0].tensor = (0, _ndarrayUnsqueeze.default)(weightsArr[0].tensor).transpose(2, 1, 0, 3); + + this._conv2d.setWeights(weightsArr); + } + + call(x) { + if (this.gpu) { + this._callGPU(x); + } else { + this._callCPU(x); + } + + return this.output; + } + + _callCPU(x) { + const input = new _Tensor.default(x.tensor.data, x.tensor.shape); + input.tensor = (0, _ndarrayUnsqueeze.default)(input.tensor).transpose(0, 2, 1); + + const conv2dOutput = this._conv2d.call(input); + + this.outputShape = [0, 2].map(i => this._conv2d.outputShape[i]); + this.output = new _Tensor.default([], this.outputShape); + + _ndarrayOps.default.assign(this.output.tensor, (0, _ndarraySqueeze.default)(conv2dOutput.tensor).transpose(1, 0, 2)); + } + + _callGPU(x) { + if (!x.glTexture) { + x.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + const inputShape = x.tensor.shape; + const input = new _Tensor.default([], inputShape); + Object.assign(input, x); + input.glTextureShape = inputShape; + input.is2DReshaped = true; + input.originalShape = [inputShape[0], 1, inputShape[1]]; + input.indicesForReshaped = tensorUtils.createIndicesFor2DReshaped(input.originalShape, false, -1); + this.output = this._conv2d.call(input); + + if (this.outbound.length === 0) { + this.output.transferFromGLTexture(); + } + } + +} + +exports.default = Conv1D; \ No newline at end of file diff --git a/lib/layers/convolutional/Conv2D.js b/lib/layers/convolutional/Conv2D.js new file mode 100644 index 0000000000..f61e049c98 --- /dev/null +++ b/lib/layers/convolutional/Conv2D.js @@ -0,0 +1,457 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _Layer = _interopRequireDefault(require("../../Layer")); + +var _Tensor = _interopRequireDefault(require("../../Tensor")); + +var activations = _interopRequireWildcard(require("../../activations")); + +var _WebGL = require("../../WebGL2"); + +var _createGLSLProgram = _interopRequireDefault(require("../../webgl/dynamic/createGLSLProgram")); + +var tensorUtils = _interopRequireWildcard(require("../../utils/tensorUtils")); + +var _ndarrayOps = _interopRequireDefault(require("ndarray-ops")); + +var _ndarrayGemm = _interopRequireDefault(require("ndarray-gemm")); + +var activationProgramSources = _interopRequireWildcard(require("../../activations/programSources")); + +function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } } + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +const mapInputProgramSource = "#version 300 es\r\nprecision highp float;\r\nprecision highp isampler2D;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D x;\r\nuniform isampler2D indexMap;\r\nuniform int inputCols;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n ivec2 size = textureSize(indexMap, 0);\r\n int out_x = int(float(size[0]) * outTex.x);\r\n int out_y = int(float(size[1]) * outTex.y);\r\n\r\n int index = texelFetch(indexMap, ivec2(out_x, out_y), 0).r;\r\n\r\n if (index != -1) {\r\n int rowIndex = int(floor(float(index) / float(inputCols)));\r\n int colIndex = int(mod(float(index), float(inputCols)));\r\n float val = texelFetch(x, ivec2(colIndex, rowIndex), 0).r;\r\n outColor = vec4(val);\r\n } else {\r\n outColor = vec4(0.0);\r\n }\r\n}\r\n"; +const mapInputFragmentsProgramSource = "#version 300 es\r\nprecision highp float;\r\nprecision highp isampler2D;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D x;\r\nuniform isampler2D indexMap;\r\nuniform int inputCols;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n ivec2 inputSize = textureSize(x, 0);\r\n ivec2 outputSize = textureSize(indexMap, 0);\r\n int out_x = int(float(outputSize[0]) * outTex.x);\r\n int out_y = int(float(outputSize[1]) * outTex.y);\r\n\r\n int index = texelFetch(indexMap, ivec2(out_x, out_y), 0).r;\r\n\r\n if (index != -1) {\r\n int rowIndex = int(floor(float(index) / float(inputCols)));\r\n int colIndex = int(mod(float(index), float(inputCols)));\r\n int fragmentIndex = int(floor(float(rowIndex) / float(inputSize[1])));\r\n rowIndex = int(mod(float(rowIndex), float(inputSize[1])));\r\n colIndex = fragmentIndex * inputCols + colIndex;\r\n float val = texelFetch(x, ivec2(colIndex, rowIndex), 0).r;\r\n outColor = vec4(val);\r\n } else {\r\n outColor = vec4(0.0);\r\n }\r\n}\r\n"; +const matMulProgramSource = "#version 300 es\r\nprecision highp float;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D A;\r\nuniform sampler2D B;\r\nuniform sampler2D C;\r\nuniform bool addC;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n ivec2 A_size = textureSize(A, 0);\r\n ivec2 B_size = textureSize(B, 0);\r\n int out_x = int(float(B_size[0]) * outTex.x);\r\n int out_y = int(float(A_size[1]) * outTex.y);\r\n int commonDim = A_size[0];\r\n\r\n float sum = 0.;\r\n for (int i = 0; i < commonDim; ++i) {\r\n float a = texelFetch(A, ivec2(i, out_y), 0).r;\r\n float b = texelFetch(B, ivec2(out_x, i), 0).r;\r\n sum += a * b;\r\n }\r\n\r\n if (addC) {\r\n sum += texelFetch(C, ivec2(out_x, 0), 0).r;\r\n }\r\n\r\n outColor = vec4(sum);\r\n}\r\n"; + +class Conv2D extends _Layer.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = 'Conv2D'; + const { + filters = 1, + kernel_size = [3, 3], + strides = [1, 1], + padding = 'valid', + data_format = 'channels_last', + dilation_rate = [1, 1], + activation = 'linear', + use_bias = true + } = attrs; + + if (Array.isArray(kernel_size)) { + this.kernelShape = [filters, ...kernel_size]; + } else { + this.kernelShape = [filters, kernel_size, kernel_size]; + } + + if (Array.isArray(strides)) { + this.strides = strides; + } else { + this.strides = [strides, strides]; + } + + if (padding === 'valid' || padding === 'same') { + this.padding = padding; + } else { + this.throwError('Invalid padding.'); + } + + if (data_format === 'channels_last' || data_format === 'channels_first') { + this.dataFormat = data_format; + } else { + this.throwError('Only channels_last and channels_first data formats are allowed.'); + } + + if (Array.isArray(dilation_rate)) { + this.dilationRate = dilation_rate; + } else { + this.dilationRate = [dilation_rate, dilation_rate]; + } + + if ((this.dilationRate[0] !== 1 || this.dilationRate[1] !== 1) && (this.strides[0] !== 1 || this.strides[1] !== 1)) { + this.throwError(`Incompatible combination of dilation_rate with strides.`); + } + + this.activation = activation; + this.activationFunc = activations[activation]; + this.useBias = use_bias; + this.params = this.useBias ? ['kernel', 'bias'] : ['kernel']; + + if (this.gpu) { + this.mapInputProgram = _WebGL.webgl2.compileProgram(mapInputProgramSource); + this.mapInputFragmentsProgram = _WebGL.webgl2.compileProgram(mapInputFragmentsProgramSource); + this.matMulProgram = _WebGL.webgl2.compileProgram(matMulProgramSource); + this.activationProgram = _WebGL.webgl2.compileProgram(activationProgramSources[this.activation]); + } + } + + setWeights(weightsArr) { + if (this.dataFormat === 'channels_first') { + weightsArr[0].tensor = weightsArr[0].tensor.transpose(2, 3, 1, 0); + } + + super.setWeights(weightsArr, false); + + this._w2row(); + + if (this.gpu) { + this.weights['kernel'] = this.wRowsMat; + this.weights['kernel'].createGLTexture({ + type: '2d', + format: 'float' + }); + + if (this.useBias) { + this.weights['bias'].createGLTexture({ + type: '2d', + format: 'float' + }); + } + } + } + + call(x) { + if (this.gpu) { + this._callGPU(x); + } else { + this._callCPU(x); + } + + return this.output; + } + + _calcOutputShape(inputShape) { + if (this.outputShape && this.inputPadding) { + return; + } + + const inputRows = inputShape[0]; + const inputCols = inputShape[1]; + const [nbFilter, nbRow, nbCol] = this.kernelShape; + const nbRowDilated = nbRow + (nbRow - 1) * (this.dilationRate[0] - 1); + const nbColDilated = nbCol + (nbCol - 1) * (this.dilationRate[1] - 1); + const outputRows = this.padding === 'same' ? Math.floor((inputRows + this.strides[0] - 1) / this.strides[0]) : Math.floor((inputRows - nbRowDilated + this.strides[0]) / this.strides[0]); + const outputCols = this.padding === 'same' ? Math.floor((inputCols + this.strides[1] - 1) / this.strides[1]) : Math.floor((inputCols - nbColDilated + this.strides[1]) / this.strides[1]); + const outputChannels = nbFilter; + const paddingRow = this.padding === 'same' ? Math.max(0, Math.floor((outputRows - 1) * this.strides[0] + nbRowDilated - inputRows)) : 0; + const paddingCol = this.padding === 'same' ? Math.max(0, Math.floor((outputCols - 1) * this.strides[1] + nbColDilated - inputCols)) : 0; + const paddingRowBefore = Math.floor(paddingRow / 2); + const paddingRowAfter = paddingRow - paddingRowBefore; + const paddingColBefore = Math.floor(paddingCol / 2); + const paddingColAfter = paddingCol - paddingColBefore; + this.outputShape = [outputRows, outputCols, outputChannels]; + this.inputPadding = [paddingRowBefore, paddingRowAfter, paddingColBefore, paddingColAfter]; + } + + _padInput(x, padValue = 0) { + if (this.padding === 'same') { + const [inputRows, inputCols, inputChannels] = x.tensor.shape; + const [paddingRowBefore, paddingRowAfter, paddingColBefore, paddingColAfter] = this.inputPadding; + const newRows = inputRows + paddingRowBefore + paddingRowAfter; + const newCols = inputCols + paddingColBefore + paddingColAfter; + + const _x = new _Tensor.default([], [newRows, newCols, inputChannels]); + + if (padValue !== 0) { + _ndarrayOps.default.assigns(_x.tensor, padValue); + } + + _ndarrayOps.default.assign(_x.tensor.hi(inputRows + paddingRowBefore, inputCols + paddingColBefore, inputChannels).lo(paddingRowBefore, paddingColBefore, 0), x.tensor); + + return _x; + } + + return x; + } + + _im2col(x) { + const [inputRows, inputCols, inputChannels] = x.tensor.shape; + const nbRow = this.kernelShape[1]; + const nbCol = this.kernelShape[2]; + const outputRows = this.outputShape[0]; + const outputCols = this.outputShape[1]; + const nbPatches = outputRows * outputCols; + const patchLen = nbRow * nbCol * inputChannels; + const nbRowDilated = nbRow + (nbRow - 1) * (this.dilationRate[0] - 1); + const nbColDilated = nbCol + (nbCol - 1) * (this.dilationRate[1] - 1); + + if (!this.imColsMat) { + this.imColsMat = new _Tensor.default([], [nbPatches, patchLen]); + } + + if (nbRowDilated === 1 && nbColDilated === 1 && this.strides[0] === 1 && this.strides[1] === 1) { + this.imColsMat.replaceTensorData(x.tensor.data); + return this.imColsMat; + } + + const patch = new _Tensor.default([], [nbRow, nbCol, inputChannels]); + let offset = 0; + + for (let i = 0, limit = inputRows - nbRowDilated; i <= limit; i += this.strides[0]) { + for (let j = 0, limit = inputCols - nbColDilated; j <= limit; j += this.strides[1]) { + _ndarrayOps.default.assign(patch.tensor, x.tensor.hi(i + nbRowDilated, j + nbColDilated, inputChannels).lo(i, j, 0).step(this.dilationRate[0], this.dilationRate[1], 1)); + + this.imColsMat.tensor.data.set(patch.tensor.data, offset); + offset += patchLen; + } + } + + return this.imColsMat; + } + + _w2row() { + const inputChannels = this.weights['kernel'].tensor.shape[2]; + const [nbFilter, nbRow, nbCol] = this.kernelShape; + const patchLen = nbRow * nbCol * inputChannels; + this.wRowsMat = new _Tensor.default([], [patchLen, nbFilter]); + const patch = new _Tensor.default([], [nbRow, nbCol, inputChannels]); + const patchRaveled = new _Tensor.default([], [patchLen]); + + for (let n = 0; n < nbFilter; n++) { + _ndarrayOps.default.assign(patch.tensor, this.weights['kernel'].tensor.pick(null, null, null, n)); + + patchRaveled.replaceTensorData(patch.tensor.data); + + _ndarrayOps.default.assign(this.wRowsMat.tensor.pick(null, n), patchRaveled.tensor); + } + + return this.wRowsMat; + } + + _callCPU(x) { + this.inputShape = x.tensor.shape; + + this._calcOutputShape(this.inputShape); + + x = this._padInput(x); + + this._im2col(x); + + const nbFilter = this.kernelShape[0]; + const outputRows = this.outputShape[0]; + const outputCols = this.outputShape[1]; + const nbPatches = outputRows * outputCols; + const matMul = new _Tensor.default([], [nbPatches, nbFilter]); + + if (this.useBias) { + for (let n = 0; n < nbFilter; n++) { + _ndarrayOps.default.assigns(matMul.tensor.pick(null, n), this.weights['bias'].tensor.get(n)); + } + } + + (0, _ndarrayGemm.default)(matMul.tensor, this.imColsMat.tensor, this.wRowsMat.tensor, 1, 1); + this.output = new _Tensor.default([], this.outputShape); + let outputChannelRaveled = new _Tensor.default([], [outputRows * outputCols]); + let outputChannel = new _Tensor.default([], [outputRows, outputCols]); + + for (let n = 0; n < nbFilter; n++) { + _ndarrayOps.default.assign(outputChannelRaveled.tensor, matMul.tensor.pick(null, n)); + + outputChannel.replaceTensorData(outputChannelRaveled.tensor.data); + + _ndarrayOps.default.assign(this.output.tensor.pick(null, null, n), outputChannel.tensor); + } + + this.activationFunc(this.output); + + if (this.dataFormat === 'channels_first') { + this.output.tensor = this.output.tensor.transpose(2, 0, 1); + } + } + + _createIndexMap(indicesForReshaped) { + if (this.indexMap) { + return; + } + + let [inputRows, inputCols, inputChannels] = this.inputShape; + let indices = new _Tensor.default(indicesForReshaped.data, indicesForReshaped.shape, { + type: Int32Array + }); + + if (this.padding === 'same') { + const [paddingRowBefore, paddingRowAfter, paddingColBefore, paddingColAfter] = this.inputPadding; + inputRows = inputRows + paddingRowBefore + paddingRowAfter; + inputCols = inputCols + paddingColBefore + paddingColAfter; + const padValue = -1; + indices = this._padInput(indices, padValue); + } + + const nbRow = this.kernelShape[1]; + const nbCol = this.kernelShape[2]; + const outputRows = this.outputShape[0]; + const outputCols = this.outputShape[1]; + const nbPatches = outputRows * outputCols; + const patchLen = nbRow * nbCol * inputChannels; + const nbRowDilated = nbRow + (nbRow - 1) * (this.dilationRate[0] - 1); + const nbColDilated = nbCol + (nbCol - 1) * (this.dilationRate[1] - 1); + this.indexMap = new _Tensor.default([], [nbPatches, patchLen], { + type: Int32Array + }); + const indicesPatch = new _Tensor.default([], [nbRow, nbCol, inputChannels]); + let offset = 0; + + for (let i = 0, limit = inputRows - nbRowDilated; i <= limit; i += this.strides[0]) { + for (let j = 0, limit = inputCols - nbColDilated; j <= limit; j += this.strides[1]) { + _ndarrayOps.default.assign(indicesPatch.tensor, indices.tensor.hi(i + nbRowDilated, j + nbColDilated, inputChannels).lo(i, j, 0).step(this.dilationRate[0], this.dilationRate[1], 1)); + + this.indexMap.tensor.data.set(indicesPatch.tensor.data, offset); + offset += patchLen; + } + } + + this.indexMap.createGLTexture({ + type: '2d', + format: 'int', + supportsTextureFragments: true + }); + } + + _callGPU(x) { + let outputTextureShape; + + if (x.is2DReshaped || x.is2DSquareReshaped) { + this.inputShape = x.originalShape; + + this._calcOutputShape(this.inputShape); + + this._createIndexMap(x.indicesForReshaped); + + outputTextureShape = [this.indexMap.glTextureShape[0], this.weights['kernel'].glTextureShape[1]]; + } else { + this.inputShape = x.tensor.shape; + + this._calcOutputShape(this.inputShape); + + x = this._padInput(x); + + this._im2col(x); + + this.imColsMat.createGLTexture({ + type: '2d', + format: 'float', + supportsTextureFragments: true + }); + outputTextureShape = [this.imColsMat.glTextureShape[0], this.weights['kernel'].glTextureShape[1]]; + } + + if (this.activation !== 'linear' && !this.outputPreactiv) { + this.outputPreactiv = new _Tensor.default([], outputTextureShape); + this.outputPreactiv.createGLTexture({ + type: '2d', + format: 'float', + supportsTextureFragments: true + }); + this.outputPreactiv.is2DReshaped = true; + this.outputPreactiv.originalShape = this.outputShape; + this.outputPreactiv.indicesForReshaped = tensorUtils.createIndicesFor2DReshaped(this.outputShape, false, -1); + } + + if (!this.output) { + this.output = new _Tensor.default([], outputTextureShape); + this.output.createGLTexture({ + type: '2d', + format: 'float', + supportsTextureFragments: true + }); + this.output.is2DReshaped = true; + this.output.originalShape = this.outputShape; + this.output.indicesForReshaped = tensorUtils.createIndicesFor2DReshaped(this.outputShape, false, -1); + } + + if (x.is2DReshaped || x.is2DSquareReshaped) { + const hasFragments = Boolean(x.glTextureFragments); + + if (hasFragments) { + x.convert2DRowFragmentedGLTextureToColStack(); + } + + if (!this.convProgram) { + const convProgramSource = (0, _createGLSLProgram.default)('conv2d', this.output.glTextureFragmentShape ? this.output.glTextureFragmentShape : this.output.glTextureShape, x.glTextureFragmentShape ? x.glTextureFragmentShape : x.glTextureShape, this.indexMap.glTextureFragmentShape ? this.indexMap.glTextureFragmentShape : this.indexMap.glTextureShape, this.useBias, hasFragments); + this.convProgram = _WebGL.webgl2.compileProgram(convProgramSource); + } + + _WebGL.webgl2.runProgram({ + program: this.convProgram, + output: this.activation === 'linear' ? this.output : this.outputPreactiv, + inputs: [{ + input: x, + name: 'x' + }, { + input: this.indexMap, + name: 'indexMap' + }, { + input: this.weights['kernel'], + name: 'kernel' + }, ...(this.useBias ? [{ + input: this.weights['bias'], + name: 'bias' + }] : [])], + supportsTextureFragments: true + }); + + if (hasFragments) { + x.removeGLTextureFragmentsAsColStack(); + } + } else { + const matMulInputs = [{ + input: this.imColsMat, + name: 'A' + }, { + input: this.weights['kernel'], + name: 'B' + }]; + + if (this.useBias) { + matMulInputs.push({ + input: this.weights['bias'], + name: 'C' + }); + } + + _WebGL.webgl2.runProgram({ + program: this.matMulProgram, + output: this.activation === 'linear' ? this.output : this.outputPreactiv, + inputs: matMulInputs, + uniforms: [{ + value: this.useBias ? 1 : 0, + type: 'bool', + name: 'addC' + }], + supportsTextureFragments: true + }); + } + + if (this.activation !== 'linear') { + _WebGL.webgl2.runProgram({ + program: this.activationProgram, + output: this.output, + inputs: [{ + input: this.outputPreactiv, + name: 'x' + }], + supportsTextureFragments: true + }); + } + + if (this.outbound.length === 0) { + this.output.transferFromGLTexture(); + this.output.reshapeFrom2D(); + + if (this.dataFormat === 'channels_first') { + this.output.tensor = this.output.tensor.transpose(2, 0, 1); + } + } + } + +} + +exports.default = Conv2D; \ No newline at end of file diff --git a/lib/layers/convolutional/Conv2DTranspose.js b/lib/layers/convolutional/Conv2DTranspose.js new file mode 100644 index 0000000000..4a91d95b1c --- /dev/null +++ b/lib/layers/convolutional/Conv2DTranspose.js @@ -0,0 +1,471 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _Layer = _interopRequireDefault(require("../../Layer")); + +var _Tensor = _interopRequireDefault(require("../../Tensor")); + +var activations = _interopRequireWildcard(require("../../activations")); + +var _WebGL = require("../../WebGL2"); + +var _createGLSLProgram = _interopRequireDefault(require("../../webgl/dynamic/createGLSLProgram")); + +var tensorUtils = _interopRequireWildcard(require("../../utils/tensorUtils")); + +var _cwise = _interopRequireDefault(require("cwise")); + +var _ndarrayOps = _interopRequireDefault(require("ndarray-ops")); + +var _ndarrayGemm = _interopRequireDefault(require("ndarray-gemm")); + +var activationProgramSources = _interopRequireWildcard(require("../../activations/programSources")); + +function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } } + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +const matMulProgramSource = "#version 300 es\r\nprecision highp float;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D A;\r\nuniform sampler2D B;\r\nuniform sampler2D C;\r\nuniform bool addC;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n ivec2 A_size = textureSize(A, 0);\r\n ivec2 B_size = textureSize(B, 0);\r\n int out_x = int(float(B_size[0]) * outTex.x);\r\n int out_y = int(float(A_size[1]) * outTex.y);\r\n int commonDim = A_size[0];\r\n\r\n float sum = 0.;\r\n for (int i = 0; i < commonDim; ++i) {\r\n float a = texelFetch(A, ivec2(i, out_y), 0).r;\r\n float b = texelFetch(B, ivec2(out_x, i), 0).r;\r\n sum += a * b;\r\n }\r\n\r\n if (addC) {\r\n sum += texelFetch(C, ivec2(out_x, 0), 0).r;\r\n }\r\n\r\n outColor = vec4(sum);\r\n}\r\n"; +const assignToRowIndicesMap = (0, _cwise.default)({ + args: [{ + blockIndices: -1 + }, 'scalar', 'scalar'], + body: function (x, rowIndex, size) { + for (let i = 0; i < size; i++) { + if (x[i] === -1) { + x[i] = rowIndex; + break; + } + } + } +}); +const assignToColIndicesMap = (0, _cwise.default)({ + args: [{ + blockIndices: -1 + }, 'array', 'scalar'], + body: function (x, colIndex, size) { + for (let i = 0; i < size; i++) { + if (x[i] === -1) { + x[i] = colIndex; + break; + } + } + } +}); + +class Conv2DTranspose extends _Layer.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = 'Conv2DTranspose'; + const { + filters = 1, + kernel_size = [3, 3], + strides = [1, 1], + padding = 'valid', + data_format = 'channels_last', + activation = 'linear', + use_bias = true + } = attrs; + + if (Array.isArray(kernel_size)) { + this.kernelShape = [filters, ...kernel_size]; + } else { + this.kernelShape = [filters, kernel_size, kernel_size]; + } + + if (Array.isArray(strides)) { + this.strides = strides; + } else { + this.strides = [strides, strides]; + } + + if (padding === 'valid' || padding === 'same') { + this.padding = padding; + } else { + this.throwError('Invalid padding.'); + } + + if (data_format === 'channels_last' || data_format === 'channels_first') { + this.dataFormat = data_format; + } else { + this.throwError('Only channels_last and channels_first data formats are allowed.'); + } + + this.activation = activation; + this.activationFunc = activations[activation]; + this.useBias = use_bias; + this.params = this.useBias ? ['kernel', 'bias'] : ['kernel']; + + if (this.gpu) { + this.matMulProgram = _WebGL.webgl2.compileProgram(matMulProgramSource); + this.activationProgram = _WebGL.webgl2.compileProgram(activationProgramSources[this.activation]); + } + } + + setWeights(weightsArr) { + if (this.dataFormat === 'channels_first') { + weightsArr[0].tensor = weightsArr[0].tensor.transpose(2, 3, 1, 0); + } + + super.setWeights(weightsArr, false); + + this._w2row(); + + if (this.gpu) { + this.weights['kernel'] = this.wRowsMat; + this.weights['kernel'].createGLTexture({ + type: '2d', + format: 'float' + }); + + if (this.useBias) { + this.weights['bias'].createGLTexture({ + type: '2d', + format: 'float' + }); + } + } + } + + call(x) { + if (this.gpu) { + this._callGPU(x); + } else { + this._callCPU(x); + } + + return this.output; + } + + _calcOutputShape(inputShape) { + if (this.outputShape && this.outputPadding) { + return; + } + + const inputRows = inputShape[0]; + const inputCols = inputShape[1]; + const [nbFilter, nbRow, nbCol] = this.kernelShape; + const outputRows = this.padding === 'same' ? inputRows * this.strides[0] : inputRows * this.strides[0] + Math.max(nbRow - this.strides[0], 0); + const outputCols = this.padding === 'same' ? inputCols * this.strides[1] : inputCols * this.strides[1] + Math.max(nbCol - this.strides[1], 0); + const outputChannels = nbFilter; + const paddingRow = this.padding === 'same' ? Math.max(0, Math.floor((inputRows - 1) * this.strides[0] + nbRow - outputRows)) : 0; + const paddingCol = this.padding === 'same' ? Math.max(0, Math.floor((inputCols - 1) * this.strides[1] + nbCol - outputCols)) : 0; + const paddingRowBefore = Math.floor(paddingRow / 2); + const paddingRowAfter = paddingRow - paddingRowBefore; + const paddingColBefore = Math.floor(paddingCol / 2); + const paddingColAfter = paddingCol - paddingColBefore; + this.outputShape = [outputRows, outputCols, outputChannels]; + this.outputPadding = [paddingRowBefore, paddingRowAfter, paddingColBefore, paddingColAfter]; + } + + _im2col(x) { + const [inputRows, inputCols, inputChannels] = x.tensor.shape; + + if (!this.imColsMat) { + this.imColsMat = new _Tensor.default([], [inputRows * inputCols, inputChannels]); + } + + const channelRaveled = new _Tensor.default([], [inputRows * inputCols]); + const channel = new _Tensor.default([], [inputRows, inputCols]); + + for (let c = 0; c < inputChannels; c++) { + _ndarrayOps.default.assign(channel.tensor, x.tensor.pick(null, null, c)); + + channelRaveled.replaceTensorData(channel.tensor.data); + + _ndarrayOps.default.assign(this.imColsMat.tensor.pick(null, c), channelRaveled.tensor); + } + + return this.imColsMat; + } + + _w2row() { + const [nbRow, nbCol, nbFilter, inputChannels] = this.weights['kernel'].tensor.shape; + this.wRowsMat = new _Tensor.default([], [inputChannels, nbRow * nbCol * nbFilter]); + const channelRaveled = new _Tensor.default([], [nbRow * nbCol * nbFilter]); + const channel = new _Tensor.default([], [nbRow, nbCol, nbFilter]); + + for (let c = 0; c < inputChannels; c++) { + _ndarrayOps.default.assign(channel.tensor, this.weights['kernel'].tensor.pick(null, null, null, c)); + + channelRaveled.replaceTensorData(channel.tensor.data); + + _ndarrayOps.default.assign(this.wRowsMat.tensor.pick(c, null), channelRaveled.tensor); + } + + return this.wRowsMat; + } + + _callCPU(x) { + this.inputShape = x.tensor.shape; + + this._calcOutputShape(this.inputShape); + + this._im2col(x); + + const inputRows = x.tensor.shape[0]; + const inputCols = x.tensor.shape[1]; + const [nbFilter, nbRow, nbCol] = this.kernelShape; + const matMul = new _Tensor.default([], [inputRows * inputCols, nbRow * nbCol * nbFilter]); + (0, _ndarrayGemm.default)(matMul.tensor, this.imColsMat.tensor, this.wRowsMat.tensor, 1, 1); + const [paddingRowBefore, paddingRowAfter, paddingColBefore, paddingColAfter] = this.outputPadding; + this.output = new _Tensor.default([], this.outputShape); + let outputPadded = new _Tensor.default([], [this.outputShape[0] + paddingRowBefore + paddingRowAfter, this.outputShape[1] + paddingColBefore + paddingColAfter, this.outputShape[2]]); + const patchShape = [nbRow, nbCol, nbFilter]; + let patch = new _Tensor.default([], patchShape); + let patchRaveled = new _Tensor.default([], [nbRow * nbCol * nbFilter]); + let index = 0; + + for (let i = 0; i < inputRows; i++) { + for (let j = 0; j < inputCols; j++) { + _ndarrayOps.default.assign(patchRaveled.tensor, matMul.tensor.pick(index, null)); + + patch.replaceTensorData(patchRaveled.tensor.data); + const iOutPos = i * this.strides[0]; + const jOutPos = j * this.strides[1]; + + _ndarrayOps.default.addeq(outputPadded.tensor.hi(iOutPos + nbRow, jOutPos + nbCol, this.outputShape[2]).lo(iOutPos, jOutPos, 0), patch.tensor); + + index += 1; + } + } + + _ndarrayOps.default.assign(this.output.tensor, outputPadded.tensor.hi(this.outputShape[0] + paddingRowBefore, this.outputShape[1] + paddingColBefore, this.outputShape[2]).lo(paddingRowBefore, paddingColBefore, 0)); + + if (this.useBias) { + for (let n = 0; n < nbFilter; n++) { + _ndarrayOps.default.addseq(this.output.tensor.pick(null, null, n), this.weights['bias'].tensor.get(n)); + } + } + + this.activationFunc(this.output); + + if (this.dataFormat === 'channels_first') { + this.output.tensor = this.output.tensor.transpose(2, 0, 1); + } + } + + _createIndexMap() { + if (this.indexMap) { + return; + } + + const inputRows = this.inputShape[0]; + const inputCols = this.inputShape[1]; + const [nbFilter, nbRow, nbCol] = this.kernelShape; + const [paddingRowBefore, paddingRowAfter, paddingColBefore, paddingColAfter] = this.outputPadding; + const effectiveKernelSize = (nbRow - this.strides[0] + 1) * (nbCol - this.strides[1] + 1); + const indicesMapShape = [this.outputShape[0], this.outputShape[1], effectiveKernelSize]; + const indicesMapShapePadded = [this.outputShape[0] + paddingRowBefore + paddingRowAfter, this.outputShape[1] + paddingColBefore + paddingColAfter, effectiveKernelSize]; + const outputRowIndicesMap = new _Tensor.default([], indicesMapShape, { + type: Int32Array + }); + const outputColIndicesMap = new _Tensor.default([], indicesMapShape, { + type: Int32Array + }); + const outputRowIndicesMapPadded = new _Tensor.default([], indicesMapShapePadded, { + type: Int32Array + }); + const outputColIndicesMapPadded = new _Tensor.default([], indicesMapShapePadded, { + type: Int32Array + }); + + _ndarrayOps.default.assigns(outputRowIndicesMap.tensor, -1); + + _ndarrayOps.default.assigns(outputColIndicesMap.tensor, -1); + + _ndarrayOps.default.assigns(outputRowIndicesMapPadded.tensor, -1); + + _ndarrayOps.default.assigns(outputColIndicesMapPadded.tensor, -1); + + const matMulColIndicesPatch = new _Tensor.default([], [nbRow, nbCol, nbFilter], { + type: Int32Array + }); + + for (let i = 0; i < nbRow * nbCol * nbFilter; i++) { + matMulColIndicesPatch.tensor.data[i] = i; + } + + for (let i = 0; i < inputRows; i++) { + for (let j = 0; j < inputCols; j++) { + const matMulRowIndex = i * inputCols + j; + const iOutPos = i * this.strides[0]; + const jOutPos = j * this.strides[1]; + assignToRowIndicesMap(outputRowIndicesMapPadded.tensor.hi(iOutPos + nbRow, jOutPos + nbCol, effectiveKernelSize).lo(iOutPos, jOutPos, 0), matMulRowIndex, effectiveKernelSize); + assignToColIndicesMap(outputColIndicesMapPadded.tensor.hi(iOutPos + nbRow, jOutPos + nbCol, effectiveKernelSize).lo(iOutPos, jOutPos, 0), matMulColIndicesPatch.tensor.pick(null, null, 0), effectiveKernelSize); + } + } + + _ndarrayOps.default.assign(outputRowIndicesMap.tensor, outputRowIndicesMapPadded.tensor.hi(this.outputShape[0] + paddingRowBefore, this.outputShape[1] + paddingColBefore, effectiveKernelSize).lo(paddingRowBefore, paddingColBefore, 0)); + + _ndarrayOps.default.assign(outputColIndicesMap.tensor, outputColIndicesMapPadded.tensor.hi(this.outputShape[0] + paddingRowBefore, this.outputShape[1] + paddingColBefore, effectiveKernelSize).lo(paddingRowBefore, paddingColBefore, 0)); + + const tiledIndicesMapShape = [this.outputShape[0] * this.outputShape[1], effectiveKernelSize]; + this.indexMap = new _Tensor.default([], tiledIndicesMapShape, { + type: Int32Array + }); + const channelData = new _Tensor.default([], [effectiveKernelSize], { + type: Int32Array + }); + + for (let i = 0; i < this.outputShape[0]; i++) { + for (let j = 0; j < this.outputShape[1]; j++) { + for (let k = 0; k < effectiveKernelSize; k++) { + const rowIndex = outputRowIndicesMap.tensor.get(i, j, k); + const colIndex = outputColIndicesMap.tensor.get(i, j, k); + + if (rowIndex !== -1 && colIndex !== -1) { + channelData.tensor.set(k, rowIndex * this.weights['kernel'].glTextureShape[1] + colIndex); + } else { + channelData.tensor.set(k, -1); + } + } + + _ndarrayOps.default.assign(this.indexMap.tensor.pick(i * this.outputShape[1] + j, null), channelData.tensor); + } + } + + this.indexMap.createGLTexture({ + type: '2d', + format: 'int', + supportsTextureFragments: true + }); + } + + _callGPU(x) { + if (x.is2DReshaped || x.is2DSquareReshaped) { + this.inputShape = x.originalShape; + + this._calcOutputShape(this.inputShape); + } else { + this.inputShape = x.tensor.shape; + + this._calcOutputShape(this.inputShape); + + this._im2col(x); + + this.imColsMat.createGLTexture({ + type: '2d', + format: 'float', + supportsTextureFragments: true + }); + } + + const input = x.is2DReshaped || x.is2DSquareReshaped ? x : this.imColsMat; + + if (!this.matMulResult) { + const outputTextureShape = [input.glTextureShape[0], this.weights['kernel'].glTextureShape[1]]; + this.matMulResult = new _Tensor.default([], outputTextureShape); + this.matMulResult.createGLTexture({ + type: '2d', + format: 'float', + supportsTextureFragments: true + }); + } + + if (this.activation !== 'linear' && !this.outputPreactiv) { + const outputTextureShape = [this.outputShape[0] * this.outputShape[1], this.outputShape[2]]; + this.outputPreactiv = new _Tensor.default([], outputTextureShape); + this.outputPreactiv.createGLTexture({ + type: '2d', + format: 'float', + supportsTextureFragments: true + }); + this.outputPreactiv.is2DReshaped = true; + this.outputPreactiv.originalShape = this.outputShape; + this.outputPreactiv.indicesForReshaped = tensorUtils.createIndicesFor2DReshaped(this.outputShape, false, -1); + } + + if (!this.output) { + const outputTextureShape = [this.outputShape[0] * this.outputShape[1], this.outputShape[2]]; + this.output = new _Tensor.default([], outputTextureShape); + this.output.createGLTexture({ + type: '2d', + format: 'float', + supportsTextureFragments: true + }); + this.output.is2DReshaped = true; + this.output.originalShape = this.outputShape; + this.output.indicesForReshaped = tensorUtils.createIndicesFor2DReshaped(this.outputShape, false, -1); + } + + _WebGL.webgl2.runProgram({ + program: this.matMulProgram, + output: this.matMulResult, + inputs: [{ + input: input, + name: 'A' + }, { + input: this.weights['kernel'], + name: 'B' + }], + uniforms: [{ + value: 0, + type: 'bool', + name: 'addC' + }], + supportsTextureFragments: true + }); + + this._createIndexMap(); + + const hasFragments = Boolean(this.matMulResult.glTextureFragments); + + if (hasFragments) { + this.matMulResult.convert2DRowFragmentedGLTextureToColStack(); + } + + if (!this.convTransposeProgram) { + const convTransposeProgramSource = (0, _createGLSLProgram.default)('conv2dTranspose', this.output.glTextureFragmentShape ? this.output.glTextureFragmentShape : this.output.glTextureShape, this.matMulResult.glTextureFragmentShape ? this.matMulResult.glTextureFragmentShape : this.matMulResult.glTextureShape, this.indexMap.glTextureFragmentShape ? this.indexMap.glTextureFragmentShape : this.indexMap.glTextureShape, this.useBias, hasFragments); + this.convTransposeProgram = _WebGL.webgl2.compileProgram(convTransposeProgramSource); + } + + _WebGL.webgl2.runProgram({ + program: this.convTransposeProgram, + output: this.activation === 'linear' ? this.output : this.outputPreactiv, + inputs: [{ + input: this.matMulResult, + name: 'matMulResult' + }, { + input: this.indexMap, + name: 'indexMap' + }, ...(this.useBias ? [{ + input: this.weights['bias'], + name: 'bias' + }] : [])], + supportsTextureFragments: true + }); + + if (hasFragments) { + this.matMulResult.removeGLTextureFragmentsAsColStack(); + } + + if (this.activation !== 'linear') { + _WebGL.webgl2.runProgram({ + program: this.activationProgram, + output: this.output, + inputs: [{ + input: this.outputPreactiv, + name: 'x' + }], + supportsTextureFragments: true + }); + } + + if (this.outbound.length === 0) { + this.output.transferFromGLTexture(); + this.output.reshapeFrom2D(); + + if (this.dataFormat === 'channels_first') { + this.output.tensor = this.output.tensor.transpose(2, 0, 1); + } + } + } + +} + +exports.default = Conv2DTranspose; \ No newline at end of file diff --git a/lib/layers/convolutional/Conv3D.js b/lib/layers/convolutional/Conv3D.js new file mode 100644 index 0000000000..50c83a0686 --- /dev/null +++ b/lib/layers/convolutional/Conv3D.js @@ -0,0 +1,476 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _Layer = _interopRequireDefault(require("../../Layer")); + +var _Tensor = _interopRequireDefault(require("../../Tensor")); + +var activations = _interopRequireWildcard(require("../../activations")); + +var _WebGL = require("../../WebGL2"); + +var _createGLSLProgram = _interopRequireDefault(require("../../webgl/dynamic/createGLSLProgram")); + +var tensorUtils = _interopRequireWildcard(require("../../utils/tensorUtils")); + +var _ndarrayOps = _interopRequireDefault(require("ndarray-ops")); + +var _ndarrayGemm = _interopRequireDefault(require("ndarray-gemm")); + +var activationProgramSources = _interopRequireWildcard(require("../../activations/programSources")); + +function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } } + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +const mapInputProgramSource = "#version 300 es\r\nprecision highp float;\r\nprecision highp isampler2D;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D x;\r\nuniform isampler2D indexMap;\r\nuniform int inputCols;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n ivec2 size = textureSize(indexMap, 0);\r\n int out_x = int(float(size[0]) * outTex.x);\r\n int out_y = int(float(size[1]) * outTex.y);\r\n\r\n int index = texelFetch(indexMap, ivec2(out_x, out_y), 0).r;\r\n\r\n if (index != -1) {\r\n int rowIndex = int(floor(float(index) / float(inputCols)));\r\n int colIndex = int(mod(float(index), float(inputCols)));\r\n float val = texelFetch(x, ivec2(colIndex, rowIndex), 0).r;\r\n outColor = vec4(val);\r\n } else {\r\n outColor = vec4(0.0);\r\n }\r\n}\r\n"; +const mapInputFragmentsProgramSource = "#version 300 es\r\nprecision highp float;\r\nprecision highp isampler2D;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D x;\r\nuniform isampler2D indexMap;\r\nuniform int inputCols;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n ivec2 inputSize = textureSize(x, 0);\r\n ivec2 outputSize = textureSize(indexMap, 0);\r\n int out_x = int(float(outputSize[0]) * outTex.x);\r\n int out_y = int(float(outputSize[1]) * outTex.y);\r\n\r\n int index = texelFetch(indexMap, ivec2(out_x, out_y), 0).r;\r\n\r\n if (index != -1) {\r\n int rowIndex = int(floor(float(index) / float(inputCols)));\r\n int colIndex = int(mod(float(index), float(inputCols)));\r\n int fragmentIndex = int(floor(float(rowIndex) / float(inputSize[1])));\r\n rowIndex = int(mod(float(rowIndex), float(inputSize[1])));\r\n colIndex = fragmentIndex * inputCols + colIndex;\r\n float val = texelFetch(x, ivec2(colIndex, rowIndex), 0).r;\r\n outColor = vec4(val);\r\n } else {\r\n outColor = vec4(0.0);\r\n }\r\n}\r\n"; +const matMulProgramSource = "#version 300 es\r\nprecision highp float;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D A;\r\nuniform sampler2D B;\r\nuniform sampler2D C;\r\nuniform bool addC;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n ivec2 A_size = textureSize(A, 0);\r\n ivec2 B_size = textureSize(B, 0);\r\n int out_x = int(float(B_size[0]) * outTex.x);\r\n int out_y = int(float(A_size[1]) * outTex.y);\r\n int commonDim = A_size[0];\r\n\r\n float sum = 0.;\r\n for (int i = 0; i < commonDim; ++i) {\r\n float a = texelFetch(A, ivec2(i, out_y), 0).r;\r\n float b = texelFetch(B, ivec2(out_x, i), 0).r;\r\n sum += a * b;\r\n }\r\n\r\n if (addC) {\r\n sum += texelFetch(C, ivec2(out_x, 0), 0).r;\r\n }\r\n\r\n outColor = vec4(sum);\r\n}\r\n"; + +class Conv3D extends _Layer.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = 'Conv3D'; + const { + filters = 1, + kernel_size = [1, 1, 1], + strides = [1, 1, 1], + padding = 'valid', + data_format = 'channels_last', + dilation_rate = [1, 1, 1], + activation = 'linear', + use_bias = true + } = attrs; + + if (Array.isArray(kernel_size)) { + this.kernelShape = [filters, ...kernel_size]; + } else { + this.kernelShape = [filters, kernel_size, kernel_size, kernel_size]; + } + + if (Array.isArray(strides)) { + this.strides = strides; + } else { + this.strides = [strides, strides, strides]; + } + + if (padding === 'valid' || padding === 'same') { + this.padding = padding; + } else { + this.throwError('Invalid padding.'); + } + + if (data_format === 'channels_last' || data_format === 'channels_first') { + this.dataFormat = data_format; + } else { + this.throwError('Only channels_last and channels_first data formats are allowed.'); + } + + if (Array.isArray(dilation_rate)) { + this.dilationRate = dilation_rate; + } else { + this.dilationRate = [dilation_rate, dilation_rate, dilation_rate]; + } + + if ((this.dilationRate[0] !== 1 || this.dilationRate[1] !== 1 || this.dilationRate[2] !== 1) && (this.strides[0] !== 1 || this.strides[1] !== 1 || this.strides[2] !== 1)) { + this.throwError('Incompatible combination of dilation_rate with strides.'); + } + + this.activation = activation; + this.activationFunc = activations[activation]; + this.useBias = use_bias; + this.params = this.useBias ? ['kernel', 'bias'] : ['kernel']; + + if (this.gpu) { + this.mapInputProgram = _WebGL.webgl2.compileProgram(mapInputProgramSource); + this.mapInputFragmentsProgram = _WebGL.webgl2.compileProgram(mapInputFragmentsProgramSource); + this.matMulProgram = _WebGL.webgl2.compileProgram(matMulProgramSource); + this.activationProgram = _WebGL.webgl2.compileProgram(activationProgramSources[this.activation]); + } + } + + setWeights(weightsArr) { + if (this.dataFormat === 'channels_first') { + weightsArr[0].tensor = weightsArr[0].tensor.transpose(2, 3, 4, 1, 0); + } + + super.setWeights(weightsArr, false); + + this._w2row(); + + if (this.gpu) { + this.weights['kernel'] = this.wRowsMat; + this.weights['kernel'].createGLTexture({ + type: '2d', + format: 'float' + }); + + if (this.useBias) { + this.weights['bias'].createGLTexture({ + type: '2d', + format: 'float' + }); + } + } + } + + call(x) { + if (this.gpu) { + this._callGPU(x); + } else { + this._callCPU(x); + } + + return this.output; + } + + _calcOutputShape(inputShape) { + if (this.outputShape && this.inputPadding) { + return; + } + + const inputDim1 = inputShape[0]; + const inputDim2 = inputShape[1]; + const inputDim3 = inputShape[2]; + const [nbFilter, kernelDim1, kernelDim2, kernelDim3] = this.kernelShape; + const kernelDim1Dilated = kernelDim1 + (kernelDim1 - 1) * (this.dilationRate[0] - 1); + const kernelDim2Dilated = kernelDim2 + (kernelDim2 - 1) * (this.dilationRate[1] - 1); + const kernelDim3Dilated = kernelDim3 + (kernelDim3 - 1) * (this.dilationRate[2] - 1); + const outputDim1 = this.padding === 'same' ? Math.floor((inputDim1 + this.strides[0] - 1) / this.strides[0]) : Math.floor((inputDim1 - kernelDim1Dilated + this.strides[0]) / this.strides[0]); + const outputDim2 = this.padding === 'same' ? Math.floor((inputDim2 + this.strides[1] - 1) / this.strides[1]) : Math.floor((inputDim2 - kernelDim2Dilated + this.strides[1]) / this.strides[1]); + const outputDim3 = this.padding === 'same' ? Math.floor((inputDim3 + this.strides[2] - 1) / this.strides[2]) : Math.floor((inputDim3 - kernelDim3Dilated + this.strides[2]) / this.strides[2]); + const outputChannels = nbFilter; + const paddingDim1 = this.padding === 'same' ? Math.max(0, Math.floor((outputDim1 - 1) * this.strides[0] + kernelDim1Dilated - inputDim1)) : 0; + const paddingDim2 = this.padding === 'same' ? Math.max(0, Math.floor((outputDim2 - 1) * this.strides[1] + kernelDim2Dilated - inputDim2)) : 0; + const paddingDim3 = this.padding === 'same' ? Math.max(0, Math.floor((outputDim3 - 1) * this.strides[2] + kernelDim3Dilated - inputDim3)) : 0; + const paddingDim1Before = Math.floor(paddingDim1 / 2); + const paddingDim1After = paddingDim1 - paddingDim1Before; + const paddingDim2Before = Math.floor(paddingDim2 / 2); + const paddingDim2After = paddingDim2 - paddingDim2Before; + const paddingDim3Before = Math.floor(paddingDim3 / 2); + const paddingDim3After = paddingDim3 - paddingDim3Before; + this.outputShape = [outputDim1, outputDim2, outputDim3, outputChannels]; + this.inputPadding = [paddingDim1Before, paddingDim1After, paddingDim2Before, paddingDim2After, paddingDim3Before, paddingDim3After]; + } + + _padInput(x, padValue = 0) { + if (this.padding === 'same') { + const [inputDim1, inputDim2, inputDim3, inputChannels] = x.tensor.shape; + const [paddingDim1Before, paddingDim1After, paddingDim2Before, paddingDim2After, paddingDim3Before, paddingDim3After] = this.inputPadding; + const newDim1 = inputDim1 + paddingDim1Before + paddingDim1After; + const newDim2 = inputDim2 + paddingDim2Before + paddingDim2After; + const newDim3 = inputDim3 + paddingDim3Before + paddingDim3After; + + const _x = new _Tensor.default([], [newDim1, newDim2, newDim3, inputChannels]); + + if (padValue !== 0) { + _ndarrayOps.default.assigns(_x.tensor, padValue); + } + + _ndarrayOps.default.assign(_x.tensor.hi(inputDim1 + paddingDim1Before, inputDim2 + paddingDim2Before, inputDim3 + paddingDim3Before, inputChannels).lo(paddingDim1Before, paddingDim2Before, paddingDim3Before, 0), x.tensor); + + return _x; + } + + return x; + } + + _vol2col(x) { + const [inputDim1, inputDim2, inputDim3, inputChannels] = x.tensor.shape; + const kernelDim1 = this.kernelShape[1]; + const kernelDim2 = this.kernelShape[2]; + const kernelDim3 = this.kernelShape[3]; + const outputDim1 = this.outputShape[0]; + const outputDim2 = this.outputShape[1]; + const outputDim3 = this.outputShape[2]; + const nbPatches = outputDim1 * outputDim2 * outputDim3; + const patchLen = kernelDim1 * kernelDim2 * kernelDim3 * inputChannels; + const kernelDim1Dilated = kernelDim1 + (kernelDim1 - 1) * (this.dilationRate[0] - 1); + const kernelDim2Dilated = kernelDim2 + (kernelDim2 - 1) * (this.dilationRate[1] - 1); + const kernelDim3Dilated = kernelDim3 + (kernelDim3 - 1) * (this.dilationRate[2] - 1); + + if (!this.volColsMat) { + this.volColsMat = new _Tensor.default([], [nbPatches, patchLen]); + } + + if (kernelDim1Dilated === 1 && kernelDim2Dilated === 1 && kernelDim3Dilated === 1 && this.strides[0] === 1 && this.strides[1] === 1 && this.strides[2] === 1) { + this.volColsMat.replaceTensorData(x.tensor.data); + return this.volColsMat; + } + + const patch = new _Tensor.default([], [kernelDim1, kernelDim2, kernelDim3, inputChannels]); + let offset = 0; + + for (let i = 0, limit = inputDim1 - kernelDim1Dilated; i <= limit; i += this.strides[0]) { + for (let j = 0, limit = inputDim2 - kernelDim2Dilated; j <= limit; j += this.strides[1]) { + for (let k = 0, limit = inputDim3 - kernelDim3Dilated; k <= limit; k += this.strides[2]) { + _ndarrayOps.default.assign(patch.tensor, x.tensor.hi(i + kernelDim1Dilated, j + kernelDim2Dilated, k + kernelDim3Dilated, inputChannels).lo(i, j, k, 0).step(this.dilationRate[0], this.dilationRate[1], this.dilationRate[2], 1)); + + this.volColsMat.tensor.data.set(patch.tensor.data, offset); + offset += patchLen; + } + } + } + + return this.volColsMat; + } + + _w2row() { + const inputChannels = this.weights['kernel'].tensor.shape[3]; + const [nbFilter, kernelDim1, kernelDim2, kernelDim3] = this.kernelShape; + const patchLen = kernelDim1 * kernelDim2 * kernelDim3 * inputChannels; + this.wRowsMat = new _Tensor.default([], [patchLen, nbFilter]); + const patch = new _Tensor.default([], [kernelDim1, kernelDim2, kernelDim3, inputChannels]); + const patchRaveled = new _Tensor.default([], [patchLen]); + + for (let n = 0; n < nbFilter; n++) { + _ndarrayOps.default.assign(patch.tensor, this.weights['kernel'].tensor.pick(null, null, null, null, n)); + + patchRaveled.replaceTensorData(patch.tensor.data); + + _ndarrayOps.default.assign(this.wRowsMat.tensor.pick(null, n), patchRaveled.tensor); + } + + return this.wRowsMat; + } + + _callCPU(x) { + this.inputShape = x.tensor.shape; + + this._calcOutputShape(this.inputShape); + + x = this._padInput(x); + + this._vol2col(x); + + const nbFilter = this.kernelShape[0]; + const outputDim1 = this.outputShape[0]; + const outputDim2 = this.outputShape[1]; + const outputDim3 = this.outputShape[2]; + const nbPatches = outputDim1 * outputDim2 * outputDim3; + const matMul = new _Tensor.default([], [nbPatches, nbFilter]); + + if (this.useBias) { + for (let n = 0; n < nbFilter; n++) { + _ndarrayOps.default.assigns(matMul.tensor.pick(null, n), this.weights['bias'].tensor.get(n)); + } + } + + (0, _ndarrayGemm.default)(matMul.tensor, this.volColsMat.tensor, this.wRowsMat.tensor, 1, 1); + this.output = new _Tensor.default([], this.outputShape); + let outputChannelRaveled = new _Tensor.default([], [outputDim1 * outputDim2 * outputDim3]); + let outputChannel = new _Tensor.default([], [outputDim1, outputDim2, outputDim3]); + + for (let n = 0; n < nbFilter; n++) { + _ndarrayOps.default.assign(outputChannelRaveled.tensor, matMul.tensor.pick(null, n)); + + outputChannel.replaceTensorData(outputChannelRaveled.tensor.data); + + _ndarrayOps.default.assign(this.output.tensor.pick(null, null, null, n), outputChannel.tensor); + } + + this.activationFunc(this.output); + + if (this.dataFormat === 'channels_first') { + this.output.tensor = this.output.tensor.transpose(3, 0, 1, 2); + } + } + + _createIndexMap(indicesForReshaped) { + if (this.indexMap) { + return; + } + + let [inputDim1, inputDim2, inputDim3, inputChannels] = this.inputShape; + let indices = new _Tensor.default(indicesForReshaped.data, indicesForReshaped.shape, { + type: Int32Array + }); + + if (this.padding === 'same') { + const [paddingDim1Before, paddingDim1After, paddingDim2Before, paddingDim2After, paddingDim3Before, paddingDim3After] = this.inputPadding; + inputDim1 = inputDim1 + paddingDim1Before + paddingDim1After; + inputDim2 = inputDim2 + paddingDim2Before + paddingDim2After; + inputDim3 = inputDim3 + paddingDim3Before + paddingDim3After; + const padValue = -1; + indices = this._padInput(indices, padValue); + } + + const kernelDim1 = this.kernelShape[1]; + const kernelDim2 = this.kernelShape[2]; + const kernelDim3 = this.kernelShape[3]; + const outputDim1 = this.outputShape[0]; + const outputDim2 = this.outputShape[1]; + const outputDim3 = this.outputShape[2]; + const nbPatches = outputDim1 * outputDim2 * outputDim3; + const patchLen = kernelDim1 * kernelDim2 * kernelDim3 * inputChannels; + const kernelDim1Dilated = kernelDim1 + (kernelDim1 - 1) * (this.dilationRate[0] - 1); + const kernelDim2Dilated = kernelDim2 + (kernelDim2 - 1) * (this.dilationRate[1] - 1); + const kernelDim3Dilated = kernelDim3 + (kernelDim3 - 1) * (this.dilationRate[2] - 1); + this.indexMap = new _Tensor.default([], [nbPatches, patchLen], { + type: Int32Array + }); + const indicesPatch = new _Tensor.default([], [kernelDim1, kernelDim2, kernelDim3, inputChannels]); + let offset = 0; + + for (let i = 0, limit = inputDim1 - kernelDim1Dilated; i <= limit; i += this.strides[0]) { + for (let j = 0, limit = inputDim2 - kernelDim2Dilated; j <= limit; j += this.strides[1]) { + for (let k = 0, limit = inputDim3 - kernelDim3Dilated; k <= limit; k += this.strides[2]) { + _ndarrayOps.default.assign(indicesPatch.tensor, indices.tensor.hi(i + kernelDim1Dilated, j + kernelDim2Dilated, k + kernelDim3Dilated, inputChannels).lo(i, j, k, 0).step(this.dilationRate[0], this.dilationRate[1], this.dilationRate[2], 1)); + + this.indexMap.tensor.data.set(indicesPatch.tensor.data, offset); + offset += patchLen; + } + } + } + + this.indexMap.createGLTexture({ + type: '2d', + format: 'int', + supportsTextureFragments: true + }); + } + + _callGPU(x) { + let outputTextureShape; + + if (x.is2DReshaped || x.is2DSquareReshaped) { + this.inputShape = x.originalShape; + + this._calcOutputShape(this.inputShape); + + this._createIndexMap(x.indicesForReshaped); + + outputTextureShape = [this.indexMap.glTextureShape[0], this.weights['kernel'].glTextureShape[1]]; + } else { + this.inputShape = x.tensor.shape; + + this._calcOutputShape(this.inputShape); + + x = this._padInput(x); + + this._vol2col(x); + + this.volColsMat.createGLTexture({ + type: '2d', + format: 'float', + supportsTextureFragments: true + }); + outputTextureShape = [this.volColsMat.glTextureShape[0], this.weights['kernel'].glTextureShape[1]]; + } + + if (this.activation !== 'linear' && !this.outputPreactiv) { + this.outputPreactiv = new _Tensor.default([], outputTextureShape); + this.outputPreactiv.createGLTexture({ + type: '2d', + format: 'float', + supportsTextureFragments: true + }); + this.outputPreactiv.is2DReshaped = true; + this.outputPreactiv.originalShape = this.outputShape; + this.outputPreactiv.indicesForReshaped = tensorUtils.createIndicesFor2DReshaped(this.outputShape, false, -1); + } + + if (!this.output) { + this.output = new _Tensor.default([], outputTextureShape); + this.output.createGLTexture({ + type: '2d', + format: 'float', + supportsTextureFragments: true + }); + this.output.is2DReshaped = true; + this.output.originalShape = this.outputShape; + this.output.indicesForReshaped = tensorUtils.createIndicesFor2DReshaped(this.outputShape, false, -1); + } + + if (x.is2DReshaped || x.is2DSquareReshaped) { + const hasFragments = Boolean(x.glTextureFragments); + + if (hasFragments) { + x.convert2DRowFragmentedGLTextureToColStack(); + } + + if (!this.convProgram) { + const convProgramSource = (0, _createGLSLProgram.default)('conv2d', this.output.glTextureFragmentShape ? this.output.glTextureFragmentShape : this.output.glTextureShape, x.glTextureFragmentShape ? x.glTextureFragmentShape : x.glTextureShape, this.indexMap.glTextureFragmentShape ? this.indexMap.glTextureFragmentShape : this.indexMap.glTextureShape, this.useBias, hasFragments); + this.convProgram = _WebGL.webgl2.compileProgram(convProgramSource); + } + + _WebGL.webgl2.runProgram({ + program: this.convProgram, + output: this.activation === 'linear' ? this.output : this.outputPreactiv, + inputs: [{ + input: x, + name: 'x' + }, { + input: this.indexMap, + name: 'indexMap' + }, { + input: this.weights['kernel'], + name: 'kernel' + }, ...(this.useBias ? [{ + input: this.weights['bias'], + name: 'bias' + }] : [])], + supportsTextureFragments: true + }); + + if (hasFragments) { + x.removeGLTextureFragmentsAsColStack(); + } + } else { + const matMulInputs = [{ + input: this.volColsMat, + name: 'A' + }, { + input: this.weights['kernel'], + name: 'B' + }]; + + if (this.useBias) { + matMulInputs.push({ + input: this.weights['bias'], + name: 'C' + }); + } + + _WebGL.webgl2.runProgram({ + program: this.matMulProgram, + output: this.activation === 'linear' ? this.output : this.outputPreactiv, + inputs: matMulInputs, + uniforms: [{ + value: this.useBias ? 1 : 0, + type: 'bool', + name: 'addC' + }], + supportsTextureFragments: true + }); + } + + if (this.activation !== 'linear') { + _WebGL.webgl2.runProgram({ + program: this.activationProgram, + output: this.output, + inputs: [{ + input: this.outputPreactiv, + name: 'x' + }], + supportsTextureFragments: true + }); + } + + if (this.outbound.length === 0) { + this.output.transferFromGLTexture(); + this.output.reshapeFrom2D(); + + if (this.dataFormat === 'channels_first') { + this.output.tensor = this.output.tensor.transpose(3, 0, 1, 2); + } + } + } + +} + +exports.default = Conv3D; \ No newline at end of file diff --git a/lib/layers/convolutional/Cropping1D.js b/lib/layers/convolutional/Cropping1D.js new file mode 100644 index 0000000000..15d96ade58 --- /dev/null +++ b/lib/layers/convolutional/Cropping1D.js @@ -0,0 +1,143 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _Layer = _interopRequireDefault(require("../../Layer")); + +var _Tensor = _interopRequireDefault(require("../../Tensor")); + +var _WebGL = require("../../WebGL2"); + +var _ndarrayOps = _interopRequireDefault(require("ndarray-ops")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +const mapInputProgramSource = "#version 300 es\r\nprecision highp float;\r\nprecision highp isampler2D;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D x;\r\nuniform isampler2D indexMap;\r\nuniform int inputCols;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n ivec2 size = textureSize(indexMap, 0);\r\n int out_x = int(float(size[0]) * outTex.x);\r\n int out_y = int(float(size[1]) * outTex.y);\r\n\r\n int index = texelFetch(indexMap, ivec2(out_x, out_y), 0).r;\r\n\r\n if (index != -1) {\r\n int rowIndex = int(floor(float(index) / float(inputCols)));\r\n int colIndex = int(mod(float(index), float(inputCols)));\r\n float val = texelFetch(x, ivec2(colIndex, rowIndex), 0).r;\r\n outColor = vec4(val);\r\n } else {\r\n outColor = vec4(0.0);\r\n }\r\n}\r\n"; + +class Cropping1D extends _Layer.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = 'Cropping1D'; + const { + cropping = [0, 0] + } = attrs; + + if (Array.isArray(cropping)) { + this.cropping = cropping; + } else { + this.cropping = [cropping, cropping]; + } + + if (this.gpu) { + this.mapInputProgram = _WebGL.webgl2.compileProgram(mapInputProgramSource); + } + } + + call(x) { + if (this.gpu) { + this._callGPU(x); + } else { + this._callCPU(x); + } + + return this.output; + } + + _callCPU(x) { + this.inputShape = x.tensor.shape; + this.outputShape = [this.inputShape[0] - this.cropping[0] - this.cropping[1], this.inputShape[1]]; + this.output = new _Tensor.default([], this.outputShape); + + _ndarrayOps.default.assign(this.output.tensor, x.tensor.hi(this.inputShape[0] - this.cropping[1], this.inputShape[2]).lo(this.cropping[0], 0)); + } + + _createIndexMap() { + if (this.indexMap) { + return; + } + + const indices = new _Tensor.default([], this.inputShape, { + type: Int32Array + }); + const indicesRow = new _Tensor.default([], this.inputShape, { + type: Int32Array + }); + const indicesCol = new _Tensor.default([], this.inputShape, { + type: Int32Array + }); + + for (let i = 0; i < this.inputShape[0]; i++) { + _ndarrayOps.default.assigns(indicesRow.tensor.pick(i, null), i); + } + + for (let j = 0; j < this.inputShape[1]; j++) { + _ndarrayOps.default.assigns(indicesCol.tensor.pick(null, j), j); + } + + _ndarrayOps.default.muls(indices.tensor, indicesRow.tensor, this.inputShape[1]); + + _ndarrayOps.default.addeq(indices.tensor, indicesCol.tensor); + + this.indexMap = new _Tensor.default([], this.outputShape, { + type: Int32Array + }); + const sliceStart = [this.cropping[0], 0]; + const sliceEnd = [this.inputShape[0] - this.cropping[1], this.inputShape[2]]; + + _ndarrayOps.default.assign(this.indexMap.tensor, indices.tensor.hi(...sliceEnd).lo(...sliceStart)); + + this.indexMap.createGLTexture({ + type: '2d', + format: 'int' + }); + } + + _callGPU(x) { + if (!x.glTexture) { + x.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + this.inputShape = x.tensor.shape; + this.outputShape = [this.inputShape[0] - this.cropping[0] - this.cropping[1], this.inputShape[1]]; + + this._createIndexMap(); + + if (!this.output) { + this.output = new _Tensor.default([], this.outputShape); + this.output.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + _WebGL.webgl2.runProgram({ + program: this.mapInputProgram, + output: this.output, + inputs: [{ + input: x, + name: 'x' + }, { + input: this.indexMap, + name: 'indexMap' + }], + uniforms: [{ + value: x.glTextureShape[1], + type: 'int', + name: 'inputCols' + }] + }); + + if (this.outbound.length === 0) { + this.output.transferFromGLTexture(); + } + } + +} + +exports.default = Cropping1D; \ No newline at end of file diff --git a/lib/layers/convolutional/Cropping2D.js b/lib/layers/convolutional/Cropping2D.js new file mode 100644 index 0000000000..eb9825d794 --- /dev/null +++ b/lib/layers/convolutional/Cropping2D.js @@ -0,0 +1,144 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _Layer = _interopRequireDefault(require("../../Layer")); + +var _Tensor = _interopRequireDefault(require("../../Tensor")); + +var _WebGL = require("../../WebGL2"); + +var _ndarrayOps = _interopRequireDefault(require("ndarray-ops")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +const mapInputProgramSource = "#version 300 es\r\nprecision highp float;\r\nprecision highp isampler2D;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D x;\r\nuniform isampler2D indexMap;\r\nuniform int inputCols;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n ivec2 size = textureSize(indexMap, 0);\r\n int out_x = int(float(size[0]) * outTex.x);\r\n int out_y = int(float(size[1]) * outTex.y);\r\n\r\n int index = texelFetch(indexMap, ivec2(out_x, out_y), 0).r;\r\n\r\n if (index != -1) {\r\n int rowIndex = int(floor(float(index) / float(inputCols)));\r\n int colIndex = int(mod(float(index), float(inputCols)));\r\n float val = texelFetch(x, ivec2(colIndex, rowIndex), 0).r;\r\n outColor = vec4(val);\r\n } else {\r\n outColor = vec4(0.0);\r\n }\r\n}\r\n"; + +class Cropping2D extends _Layer.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = 'Cropping2D'; + const { + cropping = [[0, 0], [0, 0]], + data_format = 'channels_last' + } = attrs; + + if (Array.isArray(cropping)) { + if (Array.isArray(cropping[0])) { + this.cropping = cropping; + } else { + this.cropping = [[cropping[0], cropping[0]], [cropping[1], cropping[1]]]; + } + } else { + this.cropping = [[cropping, cropping], [cropping, cropping]]; + } + + this.dataFormat = data_format; + + if (this.gpu) { + this.mapInputProgram = _WebGL.webgl2.compileProgram(mapInputProgramSource); + } + } + + call(x) { + if (this.gpu) { + this._callGPU(x); + } else { + this._callCPU(x); + } + + return this.output; + } + + _callCPU(x) { + if (this.dataFormat === 'channels_first') { + x.tensor = x.tensor.transpose(1, 2, 0); + } + + this.inputShape = x.tensor.shape; + this.outputShape = [this.inputShape[0] - this.cropping[0][0] - this.cropping[0][1], this.inputShape[1] - this.cropping[1][0] - this.cropping[1][1], this.inputShape[2]]; + this.output = new _Tensor.default([], this.outputShape); + + _ndarrayOps.default.assign(this.output.tensor, x.tensor.hi(this.inputShape[0] - this.cropping[0][1], this.inputShape[1] - this.cropping[1][1], this.inputShape[2]).lo(this.cropping[0][0], this.cropping[1][0], 0)); + + if (this.dataFormat === 'channels_first') { + x.tensor = x.tensor.transpose(2, 0, 1); + this.output.tensor = this.output.tensor.transpose(2, 0, 1); + } + } + + _createIndexMap(indicesForReshaped) { + if (this.indexMap) { + return; + } + + const indices = new _Tensor.default(indicesForReshaped.data, indicesForReshaped.shape, { + type: Int32Array + }); + this.indexMap = new _Tensor.default([], this.outputShape, { + type: Int32Array + }); + const sliceStart = this.dataFormat === 'channels_first' ? [0, this.cropping[0][0], this.cropping[1][0]] : [this.cropping[0][0], this.cropping[1][0], 0]; + const sliceEnd = this.dataFormat === 'channels_first' ? [this.inputShape[0], this.inputShape[1] - this.cropping[0][1], this.inputShape[2] - this.cropping[1][1]] : [this.inputShape[0] - this.cropping[0][1], this.inputShape[1] - this.cropping[1][1], this.inputShape[2]]; + + _ndarrayOps.default.assign(this.indexMap.tensor, indices.tensor.hi(...sliceEnd).lo(...sliceStart)); + + this.indexMap.reshapeTo2DSquare(); + this.indexMap.createGLTexture({ + type: '2d', + format: 'int' + }); + } + + _callGPU(x) { + if (!x.glTexture) { + x.reshapeTo2DSquare(); + x.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + this.inputShape = x.originalShape; + this.outputShape = this.dataFormat === 'channels_first' ? [this.inputShape[0], this.inputShape[1] - this.cropping[0][0] - this.cropping[0][1], this.inputShape[2] - this.cropping[1][0] - this.cropping[1][1]] : [this.inputShape[0] - this.cropping[0][0] - this.cropping[0][1], this.inputShape[1] - this.cropping[1][0] - this.cropping[1][1], this.inputShape[2]]; + + this._createIndexMap(x.indicesForReshaped); + + if (!this.output) { + this.output = new _Tensor.default([], this.outputShape); + this.output.reshapeTo2DSquare(); + this.output.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + _WebGL.webgl2.runProgram({ + program: this.mapInputProgram, + output: this.output, + inputs: [{ + input: x, + name: 'x' + }, { + input: this.indexMap, + name: 'indexMap' + }], + uniforms: [{ + value: x.glTextureShape[1], + type: 'int', + name: 'inputCols' + }] + }); + + if (this.outbound.length === 0) { + this.output.transferFromGLTexture(); + this.output.reshapeFrom2DSquare(); + } + } + +} + +exports.default = Cropping2D; \ No newline at end of file diff --git a/lib/layers/convolutional/Cropping3D.js b/lib/layers/convolutional/Cropping3D.js new file mode 100644 index 0000000000..a28b472fa8 --- /dev/null +++ b/lib/layers/convolutional/Cropping3D.js @@ -0,0 +1,144 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _Layer = _interopRequireDefault(require("../../Layer")); + +var _Tensor = _interopRequireDefault(require("../../Tensor")); + +var _WebGL = require("../../WebGL2"); + +var _ndarrayOps = _interopRequireDefault(require("ndarray-ops")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +const mapInputProgramSource = "#version 300 es\r\nprecision highp float;\r\nprecision highp isampler2D;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D x;\r\nuniform isampler2D indexMap;\r\nuniform int inputCols;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n ivec2 size = textureSize(indexMap, 0);\r\n int out_x = int(float(size[0]) * outTex.x);\r\n int out_y = int(float(size[1]) * outTex.y);\r\n\r\n int index = texelFetch(indexMap, ivec2(out_x, out_y), 0).r;\r\n\r\n if (index != -1) {\r\n int rowIndex = int(floor(float(index) / float(inputCols)));\r\n int colIndex = int(mod(float(index), float(inputCols)));\r\n float val = texelFetch(x, ivec2(colIndex, rowIndex), 0).r;\r\n outColor = vec4(val);\r\n } else {\r\n outColor = vec4(0.0);\r\n }\r\n}\r\n"; + +class Cropping3D extends _Layer.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = 'Cropping3D'; + const { + cropping = [[0, 0], [0, 0], [0, 0]], + data_format = 'channels_last' + } = attrs; + + if (Array.isArray(cropping)) { + if (Array.isArray(cropping[0])) { + this.cropping = cropping; + } else { + this.cropping = [[cropping[0], cropping[0]], [cropping[1], cropping[1]], [cropping[2], cropping[2]]]; + } + } else { + this.cropping = [[cropping, cropping], [cropping, cropping], [cropping, cropping]]; + } + + this.dataFormat = data_format; + + if (this.gpu) { + this.mapInputProgram = _WebGL.webgl2.compileProgram(mapInputProgramSource); + } + } + + call(x) { + if (this.gpu) { + this._callGPU(x); + } else { + this._callCPU(x); + } + + return this.output; + } + + _callCPU(x) { + if (this.dataFormat === 'channels_first') { + x.tensor = x.tensor.transpose(1, 2, 3, 0); + } + + this.inputShape = x.tensor.shape; + this.outputShape = [this.inputShape[0] - this.cropping[0][0] - this.cropping[0][1], this.inputShape[1] - this.cropping[1][0] - this.cropping[1][1], this.inputShape[2] - this.cropping[2][0] - this.cropping[2][1], this.inputShape[3]]; + this.output = new _Tensor.default([], this.outputShape); + + _ndarrayOps.default.assign(this.output.tensor, x.tensor.hi(this.inputShape[0] - this.cropping[0][1], this.inputShape[1] - this.cropping[1][1], this.inputShape[2] - this.cropping[2][1], this.inputShape[3]).lo(this.cropping[0][0], this.cropping[1][0], this.cropping[2][0], 0)); + + if (this.dataFormat === 'channels_first') { + x.tensor = x.tensor.transpose(3, 0, 1, 2); + this.output.tensor = this.output.tensor.transpose(3, 0, 1, 2); + } + } + + _createIndexMap(indicesForReshaped) { + if (this.indexMap) { + return; + } + + const indices = new _Tensor.default(indicesForReshaped.data, indicesForReshaped.shape, { + type: Int32Array + }); + this.indexMap = new _Tensor.default([], this.outputShape, { + type: Int32Array + }); + const sliceStart = this.dataFormat === 'channels_first' ? [0, this.cropping[0][0], this.cropping[1][0], this.cropping[2][0]] : [this.cropping[0][0], this.cropping[1][0], this.cropping[2][0], 0]; + const sliceEnd = this.dataFormat === 'channels_first' ? [this.inputShape[0], this.inputShape[1] - this.cropping[0][1], this.inputShape[2] - this.cropping[1][1], this.inputShape[3] - this.cropping[2][1]] : [this.inputShape[0] - this.cropping[0][1], this.inputShape[1] - this.cropping[1][1], this.inputShape[2] - this.cropping[2][1], this.inputShape[3]]; + + _ndarrayOps.default.assign(this.indexMap.tensor, indices.tensor.hi(...sliceEnd).lo(...sliceStart)); + + this.indexMap.reshapeTo2DSquare(); + this.indexMap.createGLTexture({ + type: '2d', + format: 'int' + }); + } + + _callGPU(x) { + if (!x.glTexture) { + x.reshapeTo2DSquare(); + x.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + this.inputShape = x.originalShape; + this.outputShape = this.dataFormat === 'channels_first' ? [this.inputShape[0], this.inputShape[1] - this.cropping[0][0] - this.cropping[0][1], this.inputShape[2] - this.cropping[1][0] - this.cropping[1][1], this.inputShape[3] - this.cropping[2][0] - this.cropping[2][1]] : [this.inputShape[0] - this.cropping[0][0] - this.cropping[0][1], this.inputShape[1] - this.cropping[1][0] - this.cropping[1][1], this.inputShape[2] - this.cropping[2][0] - this.cropping[2][1], this.inputShape[3]]; + + this._createIndexMap(x.indicesForReshaped); + + if (!this.output) { + this.output = new _Tensor.default([], this.outputShape); + this.output.reshapeTo2DSquare(); + this.output.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + _WebGL.webgl2.runProgram({ + program: this.mapInputProgram, + output: this.output, + inputs: [{ + input: x, + name: 'x' + }, { + input: this.indexMap, + name: 'indexMap' + }], + uniforms: [{ + value: x.glTextureShape[1], + type: 'int', + name: 'inputCols' + }] + }); + + if (this.outbound.length === 0) { + this.output.transferFromGLTexture(); + this.output.reshapeFrom2DSquare(); + } + } + +} + +exports.default = Cropping3D; \ No newline at end of file diff --git a/lib/layers/convolutional/SeparableConv2D.js b/lib/layers/convolutional/SeparableConv2D.js new file mode 100644 index 0000000000..1b557064c8 --- /dev/null +++ b/lib/layers/convolutional/SeparableConv2D.js @@ -0,0 +1,366 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _Layer = _interopRequireDefault(require("../../Layer")); + +var _Tensor = _interopRequireDefault(require("../../Tensor")); + +var activations = _interopRequireWildcard(require("../../activations")); + +var _WebGL = require("../../WebGL2"); + +var tensorUtils = _interopRequireWildcard(require("../../utils/tensorUtils")); + +var _ndarrayOps = _interopRequireDefault(require("ndarray-ops")); + +var _ndarrayGemm = _interopRequireDefault(require("ndarray-gemm")); + +var _Conv2D = _interopRequireDefault(require("./Conv2D")); + +var activationProgramSources = _interopRequireWildcard(require("../../activations/programSources")); + +function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } } + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +class _DepthwiseConv2D extends _Conv2D.default { + constructor(attrs = {}) { + super(attrs); + } + + _calcOutputShape(inputShape) { + super._calcOutputShape(inputShape); + + const nbFilter = this.kernelShape[0]; + const inputChannels = inputShape[2]; + this.outputShape[2] = nbFilter * inputChannels; + } + + _im2col(x) { + const [inputRows, inputCols, inputChannels] = x.tensor.shape; + const nbRow = this.kernelShape[1]; + const nbCol = this.kernelShape[2]; + const outputRows = this.outputShape[0]; + const outputCols = this.outputShape[1]; + const nbPatches = outputRows * outputCols; + const patchLen = nbRow * nbCol; + + if (!this.imColsMat) { + this.imColsMat = new _Tensor.default([], [nbPatches * inputChannels, patchLen]); + } + + let patch = new _Tensor.default([], [nbRow, nbCol, 1]); + let offset = 0; + + for (let c = 0; c < inputChannels; c++) { + for (let i = 0, limit = inputRows - nbRow; i <= limit; i += this.strides[0]) { + for (let j = 0, limit = inputCols - nbCol; j <= limit; j += this.strides[1]) { + _ndarrayOps.default.assign(patch.tensor, x.tensor.hi(i + nbRow, j + nbCol, c + 1).lo(i, j, c)); + + this.imColsMat.tensor.data.set(patch.tensor.data, offset); + offset += patchLen; + } + } + } + + return this.imColsMat; + } + + _w2row() { + const inputChannels = this.weights['kernel'].tensor.shape[2]; + const [nbFilter, nbRow, nbCol] = this.kernelShape; + const patchLen = nbRow * nbCol; + this.wRowsMat = new _Tensor.default([], [patchLen, nbFilter * inputChannels]); + let patch = new _Tensor.default([], [nbRow, nbCol]); + let patchRaveled = new _Tensor.default([], [patchLen]); + let p = 0; + + for (let c = 0; c < inputChannels; c++) { + for (let n = 0; n < nbFilter; n++) { + _ndarrayOps.default.assign(patch.tensor, this.weights['kernel'].tensor.pick(null, null, c, n)); + + patchRaveled.replaceTensorData(patch.tensor.data); + + _ndarrayOps.default.assign(this.wRowsMat.tensor.pick(null, p), patchRaveled.tensor); + + p += 1; + } + } + + return this.wRowsMat; + } + + _callCPU(x) { + this.inputShape = x.tensor.shape; + + this._calcOutputShape(this.inputShape); + + x = this._padInput(x); + + this._im2col(x); + + const nbFilter = this.kernelShape[0]; + const outputRows = this.outputShape[0]; + const outputCols = this.outputShape[1]; + const nbPatches = outputRows * outputCols; + const inputChannels = this.inputShape[2]; + const matMul = new _Tensor.default([], [nbPatches * inputChannels, nbFilter * inputChannels]); + (0, _ndarrayGemm.default)(matMul.tensor, this.imColsMat.tensor, this.wRowsMat.tensor, 1, 1); + this.output = new _Tensor.default([], this.outputShape); + const outputDataLength = outputRows * outputCols * nbFilter * inputChannels; + let dataFiltered = new Float32Array(outputDataLength); + + for (let c = 0; c < inputChannels; c++) { + for (let n = c * outputDataLength + c * nbFilter; n < (c + 1) * outputDataLength; n += nbFilter * inputChannels) { + for (let m = 0; m < nbFilter; m++) { + dataFiltered[n + m - c * outputDataLength] = matMul.tensor.data[n + m]; + } + } + } + + this.output.replaceTensorData(dataFiltered); + } + + _createOutputReshapeIndexMap() { + if (this.reshapeIndexMap) { + return; + } + + const nbFilter = this.kernelShape[0]; + const reshape = [this.outputShape[0] * this.outputShape[1], this.outputShape[2]]; + const reshapeRowIndices = new _Tensor.default([], reshape, { + type: Int32Array + }); + const reshapeColIndices = new _Tensor.default([], reshape, { + type: Int32Array + }); + this.reshapeIndexMap = new _Tensor.default([], reshape, { + type: Int32Array + }); + + for (let j = 0; j < reshape[1]; j++) { + for (let i = 0; i < reshape[0]; i++) { + _ndarrayOps.default.assigns(reshapeRowIndices.tensor.pick(i, j), i + Math.floor(j / nbFilter) * reshape[0]); + } + } + + for (let j = 0; j < reshape[1]; j++) { + _ndarrayOps.default.assigns(reshapeColIndices.tensor.pick(null, j), j); + } + + _ndarrayOps.default.muls(this.reshapeIndexMap.tensor, reshapeRowIndices.tensor, reshape[1]); + + _ndarrayOps.default.addeq(this.reshapeIndexMap.tensor, reshapeColIndices.tensor); + + this.reshapeIndexMap.createGLTexture({ + type: '2d', + format: 'int', + supportsTextureFragments: true + }); + } + + _callGPU(x) { + super._callGPU(x); + + this._createOutputReshapeIndexMap(); + + if (!this.outputReshaped) { + const reshape = [this.outputShape[0] * this.outputShape[1], this.outputShape[2]]; + this.outputReshaped = new _Tensor.default([], reshape); + this.outputReshaped.createGLTexture({ + type: '2d', + format: 'float', + supportsTextureFragments: true + }); + this.outputReshaped.is2DReshaped = true; + this.outputReshaped.originalShape = this.outputShape; + this.outputReshaped.indicesForReshaped = tensorUtils.createIndicesFor2DReshaped(this.outputShape, false, -1); + } + + if (this.output.glTextureFragments) { + this.output.convert2DRowFragmentedGLTextureToColStack(); + } + + _WebGL.webgl2.runProgram({ + program: this.output.glTextureFragments ? this.mapInputFragmentsProgram : this.mapInputProgram, + output: this.outputReshaped, + inputs: [{ + input: this.output, + name: 'x' + }, { + input: this.reshapeIndexMap, + name: 'indexMap' + }], + uniforms: [{ + value: this.output.glTextureShape[1], + type: 'int', + name: 'inputCols' + }], + supportsTextureFragments: true + }); + + if (this.output.glTextureFragments) { + this.output.removeGLTextureFragmentsAsColStack(); + } + } + +} + +class SeparableConv2D extends _Layer.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = 'SeparableConv2D'; + const { + filters = 1, + kernel_size = [1, 1], + strides = [1, 1], + padding = 'valid', + data_format = 'channels_last', + depth_multiplier = 1, + activation = 'linear', + use_bias = true + } = attrs; + + if (Array.isArray(kernel_size)) { + this.kernelShape = [filters, ...kernel_size]; + } else { + this.kernelShape = [filters, kernel_size, kernel_size]; + } + + if (Array.isArray(strides)) { + this.strides = strides; + } else { + this.strides = [strides, strides]; + } + + if (padding === 'valid' || padding === 'same') { + this.padding = padding; + } else { + this.throwError('Invalid padding.'); + } + + if (data_format === 'channels_last' || data_format === 'channels_first') { + this.dataFormat = data_format; + } else { + this.throwError('Only channels_last and channels_first data formats are allowed.'); + } + + this.activation = activation; + this.activationFunc = activations[activation]; + + if (padding === 'valid' || padding === 'same') { + this.padding = padding; + } else { + this.throwError('Invalid padding.'); + } + + this.useBias = use_bias; + this.params = this.useBias ? ['depthwise_kernel', 'pointwise_kernel', 'bias'] : ['depthwise_kernel', 'pointwise_kernel']; + this.depthwiseConvAttrs = { + filters: depth_multiplier, + kernel_size: [this.kernelShape[1], this.kernelShape[2]], + strides: this.strides, + padding, + data_format, + activation: 'linear', + use_bias: false, + gpu: attrs.gpu + }; + this.pointwiseConvAttrs = { + filters, + kernel_size: [1, 1], + strides: [1, 1], + padding, + data_format, + activation: 'linear', + use_bias, + gpu: attrs.gpu + }; + + if (this.gpu) { + this.activationProgram = _WebGL.webgl2.compileProgram(activationProgramSources[this.activation]); + } + } + + setWeights(weightsArr) { + this._depthwiseConv = new _DepthwiseConv2D(this.depthwiseConvAttrs); + + this._depthwiseConv.setWeights(weightsArr.slice(0, 1)); + + this._pointwiseConv = new _Conv2D.default(this.pointwiseConvAttrs); + + this._pointwiseConv.setWeights(weightsArr.slice(1, 3)); + } + + call(x) { + if (this.gpu) { + this._callGPU(x); + } else { + this._callCPU(x); + } + + return this.output; + } + + _callCPU(x) { + this._depthwiseConv._callCPU(x); + + this._pointwiseConv._callCPU(this._depthwiseConv.output); + + this.output = this._pointwiseConv.output; + this.activationFunc(this.output); + } + + _callGPU(x) { + this._depthwiseConv.outbound = [null]; + this._pointwiseConv.outbound = [null]; + + this._depthwiseConv._callGPU(x); + + this._pointwiseConv._callGPU(this._depthwiseConv.outputReshaped); + + if (this.activation === 'linear') { + this.output = this._pointwiseConv.output; + } else { + if (!this.output) { + this.output = new _Tensor.default([], this._pointwiseConv.output.glTextureShape); + this.output.createGLTexture({ + type: '2d', + format: 'float', + supportsTextureFragments: true + }); + this.output.is2DReshaped = true; + this.output.originalShape = this._pointwiseConv.output.originalShape; + this.output.indicesForReshaped = tensorUtils.createIndicesFor2DReshaped(this._pointwiseConv.output.originalShape, false, -1); + } + + this.outputPreactiv = this._pointwiseConv.output; + + _WebGL.webgl2.runProgram({ + program: this.activationProgram, + output: this.output, + inputs: [{ + input: this.outputPreactiv, + name: 'x' + }], + supportsTextureFragments: true + }); + } + + if (this.outbound.length === 0) { + this.output.transferFromGLTexture(); + this.output.reshapeFrom2D(); + + if (this.dataFormat === 'channels_first') { + this.output.tensor = this.output.tensor.transpose(2, 0, 1); + } + } + } + +} + +exports.default = SeparableConv2D; \ No newline at end of file diff --git a/lib/layers/convolutional/UpSampling1D.js b/lib/layers/convolutional/UpSampling1D.js new file mode 100644 index 0000000000..eda598eebf --- /dev/null +++ b/lib/layers/convolutional/UpSampling1D.js @@ -0,0 +1,140 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _Layer = _interopRequireDefault(require("../../Layer")); + +var _Tensor = _interopRequireDefault(require("../../Tensor")); + +var _WebGL = require("../../WebGL2"); + +var _ndarrayOps = _interopRequireDefault(require("ndarray-ops")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +const mapInputProgramSource = "#version 300 es\r\nprecision highp float;\r\nprecision highp isampler2D;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D x;\r\nuniform isampler2D indexMap;\r\nuniform int inputCols;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n ivec2 size = textureSize(indexMap, 0);\r\n int out_x = int(float(size[0]) * outTex.x);\r\n int out_y = int(float(size[1]) * outTex.y);\r\n\r\n int index = texelFetch(indexMap, ivec2(out_x, out_y), 0).r;\r\n\r\n if (index != -1) {\r\n int rowIndex = int(floor(float(index) / float(inputCols)));\r\n int colIndex = int(mod(float(index), float(inputCols)));\r\n float val = texelFetch(x, ivec2(colIndex, rowIndex), 0).r;\r\n outColor = vec4(val);\r\n } else {\r\n outColor = vec4(0.0);\r\n }\r\n}\r\n"; + +class UpSampling1D extends _Layer.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = 'UpSampling1D'; + const { + size = 2 + } = attrs; + this.size = size; + + if (this.gpu) { + this.mapInputProgram = _WebGL.webgl2.compileProgram(mapInputProgramSource); + } + } + + call(x) { + if (this.gpu) { + this._callGPU(x); + } else { + this._callCPU(x); + } + + return this.output; + } + + _callCPU(x) { + this.inputShape = x.tensor.shape; + this.outputShape = [this.inputShape[0] * this.size, this.inputShape[1]]; + this.output = new _Tensor.default([], this.outputShape); + + for (let i = 0; i < this.size; i++) { + _ndarrayOps.default.assign(this.output.tensor.lo(i, 0).step(this.size, 1), x.tensor); + } + } + + _createIndexMap() { + if (this.indexMap) { + return; + } + + const indices = new _Tensor.default([], this.inputShape, { + type: Int32Array + }); + const indicesRow = new _Tensor.default([], this.inputShape, { + type: Int32Array + }); + const indicesCol = new _Tensor.default([], this.inputShape, { + type: Int32Array + }); + + for (let i = 0; i < this.inputShape[0]; i++) { + _ndarrayOps.default.assigns(indicesRow.tensor.pick(i, null), i); + } + + for (let j = 0; j < this.inputShape[1]; j++) { + _ndarrayOps.default.assigns(indicesCol.tensor.pick(null, j), j); + } + + _ndarrayOps.default.muls(indices.tensor, indicesRow.tensor, this.inputShape[1]); + + _ndarrayOps.default.addeq(indices.tensor, indicesCol.tensor); + + this.indexMap = new _Tensor.default([], this.outputShape, { + type: Int32Array + }); + + for (let i = 0; i < this.size; i++) { + _ndarrayOps.default.assign(this.indexMap.tensor.lo(i, 0).step(this.size, 1), indices.tensor); + } + + this.indexMap.createGLTexture({ + type: '2d', + format: 'int' + }); + } + + _callGPU(x) { + if (!x.glTexture) { + x.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + this.inputShape = x.tensor.shape; + this.outputShape = [this.inputShape[0] * this.size, this.inputShape[1]]; + + this._createIndexMap(); + + if (!this.output) { + this.output = new _Tensor.default([], this.outputShape); + this.output.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + _WebGL.webgl2.runProgram({ + program: this.mapInputProgram, + output: this.output, + inputs: [{ + input: x, + name: 'x' + }, { + input: this.indexMap, + name: 'indexMap' + }], + uniforms: [{ + value: x.glTextureShape[1], + type: 'int', + name: 'inputCols' + }] + }); + + if (this.outbound.length === 0) { + this.output.transferFromGLTexture(); + } + } + +} + +exports.default = UpSampling1D; \ No newline at end of file diff --git a/lib/layers/convolutional/UpSampling2D.js b/lib/layers/convolutional/UpSampling2D.js new file mode 100644 index 0000000000..bd032d24a8 --- /dev/null +++ b/lib/layers/convolutional/UpSampling2D.js @@ -0,0 +1,149 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _Layer = _interopRequireDefault(require("../../Layer")); + +var _Tensor = _interopRequireDefault(require("../../Tensor")); + +var _WebGL = require("../../WebGL2"); + +var _ndarrayOps = _interopRequireDefault(require("ndarray-ops")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +const mapInputProgramSource = "#version 300 es\r\nprecision highp float;\r\nprecision highp isampler2D;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D x;\r\nuniform isampler2D indexMap;\r\nuniform int inputCols;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n ivec2 size = textureSize(indexMap, 0);\r\n int out_x = int(float(size[0]) * outTex.x);\r\n int out_y = int(float(size[1]) * outTex.y);\r\n\r\n int index = texelFetch(indexMap, ivec2(out_x, out_y), 0).r;\r\n\r\n if (index != -1) {\r\n int rowIndex = int(floor(float(index) / float(inputCols)));\r\n int colIndex = int(mod(float(index), float(inputCols)));\r\n float val = texelFetch(x, ivec2(colIndex, rowIndex), 0).r;\r\n outColor = vec4(val);\r\n } else {\r\n outColor = vec4(0.0);\r\n }\r\n}\r\n"; + +class UpSampling2D extends _Layer.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = 'UpSampling2D'; + const { + size = [2, 2], + data_format = 'channels_last' + } = attrs; + + if (Array.isArray(size)) { + this.size = size; + } else { + this.size = [size, size]; + } + + this.dataFormat = data_format; + + if (this.gpu) { + this.mapInputProgram = _WebGL.webgl2.compileProgram(mapInputProgramSource); + } + } + + call(x) { + if (this.gpu) { + this._callGPU(x); + } else { + this._callCPU(x); + } + + return this.output; + } + + _callCPU(x) { + if (this.dataFormat === 'channels_first') { + x.tensor = x.tensor.transpose(1, 2, 0); + } + + this.inputShape = x.tensor.shape; + this.outputShape = [this.inputShape[0] * this.size[0], this.inputShape[1] * this.size[1], this.inputShape[2]]; + this.output = new _Tensor.default([], this.outputShape); + + for (let i = 0; i < this.size[0]; i++) { + for (let j = 0; j < this.size[1]; j++) { + _ndarrayOps.default.assign(this.output.tensor.lo(i, j, 0).step(this.size[0], this.size[1], 1), x.tensor); + } + } + + if (this.dataFormat === 'channels_first') { + x.tensor = x.tensor.transpose(2, 0, 1); + this.output.tensor = this.output.tensor.transpose(2, 0, 1); + } + } + + _createIndexMap(indicesForReshaped) { + if (this.indexMap) { + return; + } + + const indices = new _Tensor.default(indicesForReshaped.data, indicesForReshaped.shape, { + type: Int32Array + }); + this.indexMap = new _Tensor.default([], this.outputShape, { + type: Int32Array + }); + + for (let i = 0; i < this.size[0]; i++) { + for (let j = 0; j < this.size[1]; j++) { + const sliceStart = this.dataFormat === 'channels_first' ? [0, i, j] : [i, j, 0]; + const step = this.dataFormat === 'channels_first' ? [1, this.size[0], this.size[1]] : [this.size[0], this.size[1], 1]; + + _ndarrayOps.default.assign(this.indexMap.tensor.lo(...sliceStart).step(...step), indices.tensor); + } + } + + this.indexMap.reshapeTo2DSquare(); + this.indexMap.createGLTexture({ + type: '2d', + format: 'int' + }); + } + + _callGPU(x) { + if (!x.glTexture) { + x.reshapeTo2DSquare(); + x.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + this.inputShape = x.originalShape; + this.outputShape = this.dataFormat === 'channels_first' ? [this.inputShape[0], this.inputShape[1] * this.size[0], this.inputShape[2] * this.size[1]] : [this.inputShape[0] * this.size[0], this.inputShape[1] * this.size[1], this.inputShape[2]]; + + this._createIndexMap(x.indicesForReshaped); + + if (!this.output) { + this.output = new _Tensor.default([], this.outputShape); + this.output.reshapeTo2DSquare(); + this.output.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + _WebGL.webgl2.runProgram({ + program: this.mapInputProgram, + output: this.output, + inputs: [{ + input: x, + name: 'x' + }, { + input: this.indexMap, + name: 'indexMap' + }], + uniforms: [{ + value: x.glTextureShape[1], + type: 'int', + name: 'inputCols' + }] + }); + + if (this.outbound.length === 0) { + this.output.transferFromGLTexture(); + this.output.reshapeFrom2DSquare(); + } + } + +} + +exports.default = UpSampling2D; \ No newline at end of file diff --git a/lib/layers/convolutional/UpSampling3D.js b/lib/layers/convolutional/UpSampling3D.js new file mode 100644 index 0000000000..9ea2cd274e --- /dev/null +++ b/lib/layers/convolutional/UpSampling3D.js @@ -0,0 +1,153 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _Layer = _interopRequireDefault(require("../../Layer")); + +var _Tensor = _interopRequireDefault(require("../../Tensor")); + +var _WebGL = require("../../WebGL2"); + +var _ndarrayOps = _interopRequireDefault(require("ndarray-ops")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +const mapInputProgramSource = "#version 300 es\r\nprecision highp float;\r\nprecision highp isampler2D;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D x;\r\nuniform isampler2D indexMap;\r\nuniform int inputCols;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n ivec2 size = textureSize(indexMap, 0);\r\n int out_x = int(float(size[0]) * outTex.x);\r\n int out_y = int(float(size[1]) * outTex.y);\r\n\r\n int index = texelFetch(indexMap, ivec2(out_x, out_y), 0).r;\r\n\r\n if (index != -1) {\r\n int rowIndex = int(floor(float(index) / float(inputCols)));\r\n int colIndex = int(mod(float(index), float(inputCols)));\r\n float val = texelFetch(x, ivec2(colIndex, rowIndex), 0).r;\r\n outColor = vec4(val);\r\n } else {\r\n outColor = vec4(0.0);\r\n }\r\n}\r\n"; + +class UpSampling3D extends _Layer.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = 'UpSampling3D'; + const { + size = [2, 2, 2], + data_format = 'channels_last' + } = attrs; + + if (Array.isArray(size)) { + this.size = size; + } else { + this.size = [size, size, size]; + } + + this.dataFormat = data_format; + + if (this.gpu) { + this.mapInputProgram = _WebGL.webgl2.compileProgram(mapInputProgramSource); + } + } + + call(x) { + if (this.gpu) { + this._callGPU(x); + } else { + this._callCPU(x); + } + + return this.output; + } + + _callCPU(x) { + if (this.dataFormat === 'channels_first') { + x.tensor = x.tensor.transpose(1, 2, 3, 0); + } + + this.inputShape = x.tensor.shape; + this.outputShape = [this.inputShape[0] * this.size[0], this.inputShape[1] * this.size[1], this.inputShape[2] * this.size[2], this.inputShape[3]]; + this.output = new _Tensor.default([], this.outputShape); + + for (let i = 0; i < this.size[0]; i++) { + for (let j = 0; j < this.size[1]; j++) { + for (let k = 0; k < this.size[2]; k++) { + _ndarrayOps.default.assign(this.output.tensor.lo(i, j, k, 0).step(this.size[0], this.size[1], this.size[2], 1), x.tensor); + } + } + } + + if (this.dataFormat === 'channels_first') { + x.tensor = x.tensor.transpose(3, 0, 1, 2); + this.output.tensor = this.output.tensor.transpose(3, 0, 1, 2); + } + } + + _createIndexMap(indicesForReshaped) { + if (this.indexMap) { + return; + } + + const indices = new _Tensor.default(indicesForReshaped.data, indicesForReshaped.shape, { + type: Int32Array + }); + this.indexMap = new _Tensor.default([], this.outputShape, { + type: Int32Array + }); + + for (let i = 0; i < this.size[0]; i++) { + for (let j = 0; j < this.size[1]; j++) { + for (let k = 0; k < this.size[2]; k++) { + const sliceStart = this.dataFormat === 'channels_first' ? [0, i, j, k] : [i, j, k, 0]; + const step = this.dataFormat === 'channels_first' ? [1, this.size[0], this.size[1], this.size[2]] : [this.size[0], this.size[1], this.size[2], 1]; + + _ndarrayOps.default.assign(this.indexMap.tensor.lo(...sliceStart).step(...step), indices.tensor); + } + } + } + + this.indexMap.reshapeTo2DSquare(); + this.indexMap.createGLTexture({ + type: '2d', + format: 'int' + }); + } + + _callGPU(x) { + if (!x.glTexture) { + x.reshapeTo2DSquare(); + x.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + this.inputShape = x.originalShape; + this.outputShape = this.dataFormat === 'channels_first' ? [this.inputShape[0], this.inputShape[1] * this.size[0], this.inputShape[2] * this.size[1], this.inputShape[3] * this.size[2]] : [this.inputShape[0] * this.size[0], this.inputShape[1] * this.size[1], this.inputShape[2] * this.size[2], this.inputShape[3]]; + + this._createIndexMap(x.indicesForReshaped); + + if (!this.output) { + this.output = new _Tensor.default([], this.outputShape); + this.output.reshapeTo2DSquare(); + this.output.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + _WebGL.webgl2.runProgram({ + program: this.mapInputProgram, + output: this.output, + inputs: [{ + input: x, + name: 'x' + }, { + input: this.indexMap, + name: 'indexMap' + }], + uniforms: [{ + value: x.glTextureShape[1], + type: 'int', + name: 'inputCols' + }] + }); + + if (this.outbound.length === 0) { + this.output.transferFromGLTexture(); + this.output.reshapeFrom2DSquare(); + } + } + +} + +exports.default = UpSampling3D; \ No newline at end of file diff --git a/lib/layers/convolutional/ZeroPadding1D.js b/lib/layers/convolutional/ZeroPadding1D.js new file mode 100644 index 0000000000..62c841cce0 --- /dev/null +++ b/lib/layers/convolutional/ZeroPadding1D.js @@ -0,0 +1,145 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _Layer = _interopRequireDefault(require("../../Layer")); + +var _Tensor = _interopRequireDefault(require("../../Tensor")); + +var _WebGL = require("../../WebGL2"); + +var _ndarrayOps = _interopRequireDefault(require("ndarray-ops")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +const mapInputProgramSource = "#version 300 es\r\nprecision highp float;\r\nprecision highp isampler2D;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D x;\r\nuniform isampler2D indexMap;\r\nuniform int inputCols;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n ivec2 size = textureSize(indexMap, 0);\r\n int out_x = int(float(size[0]) * outTex.x);\r\n int out_y = int(float(size[1]) * outTex.y);\r\n\r\n int index = texelFetch(indexMap, ivec2(out_x, out_y), 0).r;\r\n\r\n if (index != -1) {\r\n int rowIndex = int(floor(float(index) / float(inputCols)));\r\n int colIndex = int(mod(float(index), float(inputCols)));\r\n float val = texelFetch(x, ivec2(colIndex, rowIndex), 0).r;\r\n outColor = vec4(val);\r\n } else {\r\n outColor = vec4(0.0);\r\n }\r\n}\r\n"; + +class ZeroPadding1D extends _Layer.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = 'ZeroPadding1D'; + const { + padding = [1, 1] + } = attrs; + + if (Array.isArray(padding)) { + this.padding = padding; + } else { + this.padding = [padding, padding]; + } + + if (this.gpu) { + this.mapInputProgram = _WebGL.webgl2.compileProgram(mapInputProgramSource); + } + } + + call(x) { + if (this.gpu) { + this._callGPU(x); + } else { + this._callCPU(x); + } + + return this.output; + } + + _callCPU(x) { + this.inputShape = x.tensor.shape; + this.outputShape = [this.inputShape[0] + this.padding[0] + this.padding[1], this.inputShape[1]]; + this.output = new _Tensor.default([], this.outputShape); + + _ndarrayOps.default.assign(this.output.tensor.hi(this.inputShape[0] + this.padding[0], this.inputShape[1]).lo(this.padding[0], 0), x.tensor); + } + + _createIndexMap() { + if (this.indexMap) { + return; + } + + const indices = new _Tensor.default([], this.inputShape, { + type: Int32Array + }); + const indicesRow = new _Tensor.default([], this.inputShape, { + type: Int32Array + }); + const indicesCol = new _Tensor.default([], this.inputShape, { + type: Int32Array + }); + + for (let i = 0; i < this.inputShape[0]; i++) { + _ndarrayOps.default.assigns(indicesRow.tensor.pick(i, null), i); + } + + for (let j = 0; j < this.inputShape[1]; j++) { + _ndarrayOps.default.assigns(indicesCol.tensor.pick(null, j), j); + } + + _ndarrayOps.default.muls(indices.tensor, indicesRow.tensor, this.inputShape[1]); + + _ndarrayOps.default.addeq(indices.tensor, indicesCol.tensor); + + this.indexMap = new _Tensor.default([], this.outputShape, { + type: Int32Array + }); + const sliceStart = [this.padding[0], 0]; + const sliceEnd = [this.inputShape[0] + this.padding[0], this.inputShape[1]]; + + _ndarrayOps.default.assigns(this.indexMap.tensor, -1); + + _ndarrayOps.default.assign(this.indexMap.tensor.hi(...sliceEnd).lo(...sliceStart), indices.tensor); + + this.indexMap.createGLTexture({ + type: '2d', + format: 'int' + }); + } + + _callGPU(x) { + if (!x.glTexture) { + x.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + this.inputShape = x.tensor.shape; + this.outputShape = [this.inputShape[0] + this.padding[0] + this.padding[1], this.inputShape[1]]; + + this._createIndexMap(); + + if (!this.output) { + this.output = new _Tensor.default([], this.outputShape); + this.output.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + _WebGL.webgl2.runProgram({ + program: this.mapInputProgram, + output: this.output, + inputs: [{ + input: x, + name: 'x' + }, { + input: this.indexMap, + name: 'indexMap' + }], + uniforms: [{ + value: x.glTextureShape[1], + type: 'int', + name: 'inputCols' + }] + }); + + if (this.outbound.length === 0) { + this.output.transferFromGLTexture(); + } + } + +} + +exports.default = ZeroPadding1D; \ No newline at end of file diff --git a/lib/layers/convolutional/ZeroPadding2D.js b/lib/layers/convolutional/ZeroPadding2D.js new file mode 100644 index 0000000000..077f541a13 --- /dev/null +++ b/lib/layers/convolutional/ZeroPadding2D.js @@ -0,0 +1,146 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _Layer = _interopRequireDefault(require("../../Layer")); + +var _Tensor = _interopRequireDefault(require("../../Tensor")); + +var _WebGL = require("../../WebGL2"); + +var _ndarrayOps = _interopRequireDefault(require("ndarray-ops")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +const mapInputProgramSource = "#version 300 es\r\nprecision highp float;\r\nprecision highp isampler2D;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D x;\r\nuniform isampler2D indexMap;\r\nuniform int inputCols;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n ivec2 size = textureSize(indexMap, 0);\r\n int out_x = int(float(size[0]) * outTex.x);\r\n int out_y = int(float(size[1]) * outTex.y);\r\n\r\n int index = texelFetch(indexMap, ivec2(out_x, out_y), 0).r;\r\n\r\n if (index != -1) {\r\n int rowIndex = int(floor(float(index) / float(inputCols)));\r\n int colIndex = int(mod(float(index), float(inputCols)));\r\n float val = texelFetch(x, ivec2(colIndex, rowIndex), 0).r;\r\n outColor = vec4(val);\r\n } else {\r\n outColor = vec4(0.0);\r\n }\r\n}\r\n"; + +class ZeroPadding2D extends _Layer.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = 'ZeroPadding2D'; + const { + padding = [[1, 1], [1, 1]], + data_format = 'channels_last' + } = attrs; + + if (Array.isArray(padding)) { + if (Array.isArray(padding[0])) { + this.padding = padding; + } else { + this.padding = [[padding[0], padding[0]], [padding[1], padding[1]]]; + } + } else { + this.padding = [[padding, padding], [padding, padding]]; + } + + this.dataFormat = data_format; + + if (this.gpu) { + this.mapInputProgram = _WebGL.webgl2.compileProgram(mapInputProgramSource); + } + } + + call(x) { + if (this.gpu) { + this._callGPU(x); + } else { + this._callCPU(x); + } + + return this.output; + } + + _callCPU(x) { + if (this.dataFormat === 'channels_first') { + x.tensor = x.tensor.transpose(1, 2, 0); + } + + this.inputShape = x.tensor.shape; + this.outputShape = [this.inputShape[0] + this.padding[0][0] + this.padding[0][1], this.inputShape[1] + this.padding[1][0] + this.padding[1][1], this.inputShape[2]]; + this.output = new _Tensor.default([], this.outputShape); + + _ndarrayOps.default.assign(this.output.tensor.hi(this.inputShape[0] + this.padding[0][0], this.inputShape[1] + this.padding[1][0], this.inputShape[2]).lo(this.padding[0][0], this.padding[1][0], 0), x.tensor); + + if (this.dataFormat === 'channels_first') { + x.tensor = x.tensor.transpose(2, 0, 1); + this.output.tensor = this.output.tensor.transpose(2, 0, 1); + } + } + + _createIndexMap(indicesForReshaped) { + if (this.indexMap) { + return; + } + + const indices = new _Tensor.default(indicesForReshaped.data, indicesForReshaped.shape, { + type: Int32Array + }); + this.indexMap = new _Tensor.default([], this.outputShape, { + type: Int32Array + }); + const sliceStart = this.dataFormat === 'channels_first' ? [0, this.padding[0][0], this.padding[1][0]] : [this.padding[0][0], this.padding[1][0], 0]; + const sliceEnd = this.dataFormat === 'channels_first' ? [this.inputShape[0], this.inputShape[1] + this.padding[0][0], this.inputShape[2] + this.padding[1][0]] : [this.inputShape[0] + this.padding[0][0], this.inputShape[1] + this.padding[1][0], this.inputShape[2]]; + + _ndarrayOps.default.assigns(this.indexMap.tensor, -1); + + _ndarrayOps.default.assign(this.indexMap.tensor.hi(...sliceEnd).lo(...sliceStart), indices.tensor); + + this.indexMap.reshapeTo2DSquare(); + this.indexMap.createGLTexture({ + type: '2d', + format: 'int' + }); + } + + _callGPU(x) { + if (!x.glTexture) { + x.reshapeTo2DSquare(); + x.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + this.inputShape = x.originalShape; + this.outputShape = this.dataFormat === 'channels_first' ? [this.inputShape[0], this.inputShape[1] + this.padding[0][0] + this.padding[0][1], this.inputShape[2] + this.padding[1][0] + this.padding[1][1]] : [this.inputShape[0] + this.padding[0][0] + this.padding[0][1], this.inputShape[1] + this.padding[1][0] + this.padding[1][1], this.inputShape[2]]; + + this._createIndexMap(x.indicesForReshaped); + + if (!this.output) { + this.output = new _Tensor.default([], this.outputShape); + this.output.reshapeTo2DSquare(); + this.output.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + _WebGL.webgl2.runProgram({ + program: this.mapInputProgram, + output: this.output, + inputs: [{ + input: x, + name: 'x' + }, { + input: this.indexMap, + name: 'indexMap' + }], + uniforms: [{ + value: x.glTextureShape[1], + type: 'int', + name: 'inputCols' + }] + }); + + if (this.outbound.length === 0) { + this.output.transferFromGLTexture(); + this.output.reshapeFrom2DSquare(); + } + } + +} + +exports.default = ZeroPadding2D; \ No newline at end of file diff --git a/lib/layers/convolutional/ZeroPadding3D.js b/lib/layers/convolutional/ZeroPadding3D.js new file mode 100644 index 0000000000..69917c9e9b --- /dev/null +++ b/lib/layers/convolutional/ZeroPadding3D.js @@ -0,0 +1,146 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _Layer = _interopRequireDefault(require("../../Layer")); + +var _Tensor = _interopRequireDefault(require("../../Tensor")); + +var _WebGL = require("../../WebGL2"); + +var _ndarrayOps = _interopRequireDefault(require("ndarray-ops")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +const mapInputProgramSource = "#version 300 es\r\nprecision highp float;\r\nprecision highp isampler2D;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D x;\r\nuniform isampler2D indexMap;\r\nuniform int inputCols;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n ivec2 size = textureSize(indexMap, 0);\r\n int out_x = int(float(size[0]) * outTex.x);\r\n int out_y = int(float(size[1]) * outTex.y);\r\n\r\n int index = texelFetch(indexMap, ivec2(out_x, out_y), 0).r;\r\n\r\n if (index != -1) {\r\n int rowIndex = int(floor(float(index) / float(inputCols)));\r\n int colIndex = int(mod(float(index), float(inputCols)));\r\n float val = texelFetch(x, ivec2(colIndex, rowIndex), 0).r;\r\n outColor = vec4(val);\r\n } else {\r\n outColor = vec4(0.0);\r\n }\r\n}\r\n"; + +class ZeroPadding3D extends _Layer.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = 'ZeroPadding3D'; + const { + padding = [[1, 1], [1, 1], [1, 1]], + data_format = 'channels_last' + } = attrs; + + if (Array.isArray(padding)) { + if (Array.isArray(padding[0])) { + this.padding = padding; + } else { + this.padding = [[padding[0], padding[0]], [padding[1], padding[1]], [padding[2], padding[2]]]; + } + } else { + this.padding = [[padding, padding], [padding, padding], [padding, padding]]; + } + + this.dataFormat = data_format; + + if (this.gpu) { + this.mapInputProgram = _WebGL.webgl2.compileProgram(mapInputProgramSource); + } + } + + call(x) { + if (this.gpu) { + this._callGPU(x); + } else { + this._callCPU(x); + } + + return this.output; + } + + _callCPU(x) { + if (this.dataFormat === 'channels_first') { + x.tensor = x.tensor.transpose(1, 2, 3, 0); + } + + this.inputShape = x.tensor.shape; + this.outputShape = [this.inputShape[0] + this.padding[0][0] + this.padding[0][1], this.inputShape[1] + this.padding[1][0] + this.padding[1][1], this.inputShape[2] + this.padding[2][0] + this.padding[2][1], this.inputShape[3]]; + this.output = new _Tensor.default([], this.outputShape); + + _ndarrayOps.default.assign(this.output.tensor.hi(this.inputShape[0] + this.padding[0][0], this.inputShape[1] + this.padding[1][0], this.inputShape[2] + this.padding[2][0], this.inputShape[3]).lo(this.padding[0][0], this.padding[1][0], this.padding[2][0], 0), x.tensor); + + if (this.dataFormat === 'channels_first') { + x.tensor = x.tensor.transpose(3, 0, 1, 2); + this.output.tensor = this.output.tensor.transpose(3, 0, 1, 2); + } + } + + _createIndexMap(indicesForReshaped) { + if (this.indexMap) { + return; + } + + const indices = new _Tensor.default(indicesForReshaped.data, indicesForReshaped.shape, { + type: Int32Array + }); + this.indexMap = new _Tensor.default([], this.outputShape, { + type: Int32Array + }); + const sliceStart = this.dataFormat === 'channels_first' ? [0, this.padding[0][0], this.padding[1][0], this.padding[2][0]] : [this.padding[0][0], this.padding[1][0], this.padding[2][0], 0]; + const sliceEnd = this.dataFormat === 'channels_first' ? [this.inputShape[0], this.inputShape[1] + this.padding[0][0], this.inputShape[2] + this.padding[1][0], this.inputShape[3] + this.padding[2][0]] : [this.inputShape[0] + this.padding[0][0], this.inputShape[1] + this.padding[1][0], this.inputShape[2] + this.padding[2][0], this.inputShape[3]]; + + _ndarrayOps.default.assigns(this.indexMap.tensor, -1); + + _ndarrayOps.default.assign(this.indexMap.tensor.hi(...sliceEnd).lo(...sliceStart), indices.tensor); + + this.indexMap.reshapeTo2DSquare(); + this.indexMap.createGLTexture({ + type: '2d', + format: 'int' + }); + } + + _callGPU(x) { + if (!x.glTexture) { + x.reshapeTo2DSquare(); + x.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + this.inputShape = x.originalShape; + this.outputShape = this.dataFormat === 'channels_first' ? [this.inputShape[0], this.inputShape[1] + this.padding[0][0] + this.padding[0][1], this.inputShape[2] + this.padding[1][0] + this.padding[1][1], this.inputShape[3] + this.padding[2][0] + this.padding[2][1]] : [this.inputShape[0] + this.padding[0][0] + this.padding[0][1], this.inputShape[1] + this.padding[1][0] + this.padding[1][1], this.inputShape[2] + this.padding[2][0] + this.padding[2][1], this.inputShape[3]]; + + this._createIndexMap(x.indicesForReshaped); + + if (!this.output) { + this.output = new _Tensor.default([], this.outputShape); + this.output.reshapeTo2DSquare(); + this.output.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + _WebGL.webgl2.runProgram({ + program: this.mapInputProgram, + output: this.output, + inputs: [{ + input: x, + name: 'x' + }, { + input: this.indexMap, + name: 'indexMap' + }], + uniforms: [{ + value: x.glTextureShape[1], + type: 'int', + name: 'inputCols' + }] + }); + + if (this.outbound.length === 0) { + this.output.transferFromGLTexture(); + this.output.reshapeFrom2DSquare(); + } + } + +} + +exports.default = ZeroPadding3D; \ No newline at end of file diff --git a/lib/layers/convolutional/index.js b/lib/layers/convolutional/index.js new file mode 100644 index 0000000000..ddb1105c55 --- /dev/null +++ b/lib/layers/convolutional/index.js @@ -0,0 +1,119 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +Object.defineProperty(exports, "Conv1D", { + enumerable: true, + get: function () { + return _Conv1D.default; + } +}); +Object.defineProperty(exports, "Conv2D", { + enumerable: true, + get: function () { + return _Conv2D.default; + } +}); +Object.defineProperty(exports, "SeparableConv2D", { + enumerable: true, + get: function () { + return _SeparableConv2D.default; + } +}); +Object.defineProperty(exports, "Conv2DTranspose", { + enumerable: true, + get: function () { + return _Conv2DTranspose.default; + } +}); +Object.defineProperty(exports, "Conv3D", { + enumerable: true, + get: function () { + return _Conv3D.default; + } +}); +Object.defineProperty(exports, "Cropping1D", { + enumerable: true, + get: function () { + return _Cropping1D.default; + } +}); +Object.defineProperty(exports, "Cropping2D", { + enumerable: true, + get: function () { + return _Cropping2D.default; + } +}); +Object.defineProperty(exports, "Cropping3D", { + enumerable: true, + get: function () { + return _Cropping3D.default; + } +}); +Object.defineProperty(exports, "UpSampling1D", { + enumerable: true, + get: function () { + return _UpSampling1D.default; + } +}); +Object.defineProperty(exports, "UpSampling2D", { + enumerable: true, + get: function () { + return _UpSampling2D.default; + } +}); +Object.defineProperty(exports, "UpSampling3D", { + enumerable: true, + get: function () { + return _UpSampling3D.default; + } +}); +Object.defineProperty(exports, "ZeroPadding1D", { + enumerable: true, + get: function () { + return _ZeroPadding1D.default; + } +}); +Object.defineProperty(exports, "ZeroPadding2D", { + enumerable: true, + get: function () { + return _ZeroPadding2D.default; + } +}); +Object.defineProperty(exports, "ZeroPadding3D", { + enumerable: true, + get: function () { + return _ZeroPadding3D.default; + } +}); + +var _Conv1D = _interopRequireDefault(require("./Conv1D")); + +var _Conv2D = _interopRequireDefault(require("./Conv2D")); + +var _SeparableConv2D = _interopRequireDefault(require("./SeparableConv2D")); + +var _Conv2DTranspose = _interopRequireDefault(require("./Conv2DTranspose")); + +var _Conv3D = _interopRequireDefault(require("./Conv3D")); + +var _Cropping1D = _interopRequireDefault(require("./Cropping1D")); + +var _Cropping2D = _interopRequireDefault(require("./Cropping2D")); + +var _Cropping3D = _interopRequireDefault(require("./Cropping3D")); + +var _UpSampling1D = _interopRequireDefault(require("./UpSampling1D")); + +var _UpSampling2D = _interopRequireDefault(require("./UpSampling2D")); + +var _UpSampling3D = _interopRequireDefault(require("./UpSampling3D")); + +var _ZeroPadding1D = _interopRequireDefault(require("./ZeroPadding1D")); + +var _ZeroPadding2D = _interopRequireDefault(require("./ZeroPadding2D")); + +var _ZeroPadding3D = _interopRequireDefault(require("./ZeroPadding3D")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } \ No newline at end of file diff --git a/lib/layers/core/Activation.js b/lib/layers/core/Activation.js new file mode 100644 index 0000000000..ff8c191de5 --- /dev/null +++ b/lib/layers/core/Activation.js @@ -0,0 +1,111 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _Layer = _interopRequireDefault(require("../../Layer")); + +var _Tensor = _interopRequireDefault(require("../../Tensor")); + +var _WebGL = require("../../WebGL2"); + +var activations = _interopRequireWildcard(require("../../activations")); + +var activationProgramSources = _interopRequireWildcard(require("../../activations/programSources")); + +function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } } + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +class Activation extends _Layer.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = 'Activation'; + const { + activation = 'linear' + } = attrs; + this.activation = activation; + this.activationFunc = activations[activation]; + + if (this.gpu) { + this.program = _WebGL.webgl2.compileProgram(activationProgramSources[this.activation]); + } + } + + call(x) { + if (this.activation === 'linear') { + this.output = x; + return this.output; + } + + if (this.gpu) { + this._callGPU(x); + } else { + this._callCPU(x); + } + + return this.output; + } + + _callCPU(x) { + this.output = new _Tensor.default(new x.arrayType(x.tensor.data), x.tensor.shape); + this.activationFunc(this.output); + } + + _callGPU(x) { + if (!x.glTexture && !x.glTextureFragments) { + x.createGLTexture({ + type: '2d', + format: 'float', + supportsTextureFragments: true + }); + } + + if (!this.output) { + this.output = new _Tensor.default([], x.glTextureShape); + this.output.createGLTexture({ + type: '2d', + format: 'float', + supportsTextureFragments: true + }); + + if (x.is1D) { + this.output.is1D = x.is1D; + } else if (x.is2DReshaped || x.is2DSquareReshaped) { + if (x.is2DReshaped) { + this.output.is2DReshaped = x.is2DReshaped; + } else if (x.is2DSquareReshaped) { + this.output.is2DSquareReshaped = x.is2DSquareReshaped; + } + + this.output.originalShape = x.originalShape; + this.output.indicesForReshaped = x.indicesForReshaped; + } + } + + _WebGL.webgl2.runProgram({ + program: this.program, + output: this.output, + inputs: [{ + input: x, + name: 'x' + }], + supportsTextureFragments: true + }); + + if (this.outbound.length === 0) { + this.output.transferFromGLTexture(); + + if (this.output.is2DReshaped) { + this.output.reshapeFrom2D(); + } else if (this.output.is2DSquareReshaped) { + this.output.reshapeFrom2DSquare(); + } + } + } + +} + +exports.default = Activation; \ No newline at end of file diff --git a/lib/layers/core/Dense.js b/lib/layers/core/Dense.js new file mode 100644 index 0000000000..b1bd4b3f1b --- /dev/null +++ b/lib/layers/core/Dense.js @@ -0,0 +1,144 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _Layer = _interopRequireDefault(require("../../Layer")); + +var _Tensor = _interopRequireDefault(require("../../Tensor")); + +var activations = _interopRequireWildcard(require("../../activations")); + +var _WebGL = require("../../WebGL2"); + +var _ndarrayBlasLevel = require("ndarray-blas-level2"); + +var _ndarrayOps = _interopRequireDefault(require("ndarray-ops")); + +var activationProgramSources = _interopRequireWildcard(require("../../activations/programSources")); + +function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } } + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +const matMulProgramSource = "#version 300 es\r\nprecision highp float;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D A;\r\nuniform sampler2D B;\r\nuniform sampler2D C;\r\nuniform bool addC;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n ivec2 A_size = textureSize(A, 0);\r\n ivec2 B_size = textureSize(B, 0);\r\n int out_x = int(float(B_size[0]) * outTex.x);\r\n int out_y = int(float(A_size[1]) * outTex.y);\r\n int commonDim = A_size[0];\r\n\r\n float sum = 0.;\r\n for (int i = 0; i < commonDim; ++i) {\r\n float a = texelFetch(A, ivec2(i, out_y), 0).r;\r\n float b = texelFetch(B, ivec2(out_x, i), 0).r;\r\n sum += a * b;\r\n }\r\n\r\n if (addC) {\r\n sum += texelFetch(C, ivec2(out_x, 0), 0).r;\r\n }\r\n\r\n outColor = vec4(sum);\r\n}\r\n"; + +class Dense extends _Layer.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = 'Dense'; + const { + units = 1, + activation = 'linear', + input_dim = null, + use_bias = true + } = attrs; + this.activation = activation; + this.activationFunc = activations[this.activation]; + this.units = units; + this.input_dim = input_dim; + this.use_bias = use_bias; + this.params = this.use_bias ? ['kernel', 'bias'] : ['kernel']; + + if (this.input_dim) { + this.inputShape = [this.input_dim]; + } + + if (this.gpu) { + this.matMulProgram = _WebGL.webgl2.compileProgram(matMulProgramSource); + this.activationProgram = _WebGL.webgl2.compileProgram(activationProgramSources[this.activation]); + } + } + + call(x) { + if (this.gpu) { + this._callGPU(x); + } else { + this._callCPU(x); + } + + return this.output; + } + + _callCPU(x) { + this.output = new _Tensor.default([], [this.units]); + + if (this.use_bias) { + _ndarrayOps.default.assign(this.output.tensor, this.weights['bias'].tensor); + } + + (0, _ndarrayBlasLevel.gemv)(1, this.weights['kernel'].tensor.transpose(1, 0), x.tensor, 1, this.output.tensor); + this.activationFunc(this.output); + } + + _callGPU(x) { + if (!x.glTexture) { + x.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + if (this.activation !== 'linear' && !this.outputPreactiv) { + this.outputPreactiv = new _Tensor.default([], [this.units]); + this.outputPreactiv.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + if (!this.output) { + this.output = new _Tensor.default([], [this.units]); + this.output.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + const matMulInputs = [{ + input: x, + name: 'A' + }, { + input: this.weights['kernel'], + name: 'B' + }]; + + if (this.use_bias) { + matMulInputs.push({ + input: this.weights['bias'], + name: 'C' + }); + } + + _WebGL.webgl2.runProgram({ + program: this.matMulProgram, + output: this.activation === 'linear' ? this.output : this.outputPreactiv, + inputs: matMulInputs, + uniforms: [{ + value: this.use_bias ? 1 : 0, + type: 'bool', + name: 'addC' + }] + }); + + if (this.activation !== 'linear') { + _WebGL.webgl2.runProgram({ + program: this.activationProgram, + output: this.output, + inputs: [{ + input: this.outputPreactiv, + name: 'x' + }] + }); + } + + if (this.outbound.length === 0) { + this.output.transferFromGLTexture(); + } + } + +} + +exports.default = Dense; \ No newline at end of file diff --git a/lib/layers/core/Dropout.js b/lib/layers/core/Dropout.js new file mode 100644 index 0000000000..60e9b0c37d --- /dev/null +++ b/lib/layers/core/Dropout.js @@ -0,0 +1,29 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _Layer = _interopRequireDefault(require("../../Layer")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +class Dropout extends _Layer.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = 'Dropout'; + const { + rate = 0.5 + } = attrs; + this.rate = Math.min(Math.max(0, rate), 1); + } + + call(x) { + this.output = x; + return this.output; + } + +} + +exports.default = Dropout; \ No newline at end of file diff --git a/lib/layers/core/Flatten.js b/lib/layers/core/Flatten.js new file mode 100644 index 0000000000..df0e85f85b --- /dev/null +++ b/lib/layers/core/Flatten.js @@ -0,0 +1,128 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _Layer = _interopRequireDefault(require("../../Layer")); + +var _Tensor = _interopRequireDefault(require("../../Tensor")); + +var _WebGL = require("../../WebGL2"); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +const flattenProgramSource = "#version 300 es\r\nprecision highp float;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D x;\r\nuniform int outputSize;\r\nuniform int inputCols;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n int out_x = int(float(outputSize) * outTex.x);\r\n int out_y = 0;\r\n\r\n int i = int(floor(float(out_x) / float(inputCols)));\r\n int j = int(mod(float(out_x), float(inputCols)));\r\n outColor = vec4(texelFetch(x, ivec2(j, i), 0).r);\r\n}\r\n"; +const flattenFragmentsProgramSource = "#version 300 es\r\nprecision highp float;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D x;\r\nuniform int outputSize;\r\nuniform int inputRows;\r\nuniform int inputCols;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n int out_x = int(float(outputSize) * outTex.x);\r\n int out_y = 0;\r\n\r\n int rowIndex = int(mod(floor(float(out_x) / float(inputCols)), float(inputRows)));\r\n int colIndex = int(mod(float(out_x), float(inputCols)));\r\n int fragmentIndex = int(floor(float(out_x) / (float(inputRows) * float(inputCols))));\r\n colIndex += fragmentIndex * inputCols;\r\n outColor = vec4(texelFetch(x, ivec2(colIndex, rowIndex), 0).r);\r\n}\r\n"; + +class Flatten extends _Layer.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = 'Flatten'; + + if (this.gpu) { + this.flattenProgram = _WebGL.webgl2.compileProgram(flattenProgramSource); + this.flattenFragmentsProgram = _WebGL.webgl2.compileProgram(flattenFragmentsProgramSource); + } + } + + call(x) { + if (this.gpu) { + this._callGPU(x); + } else { + this._callCPU(x); + } + + return this.output; + } + + _callCPU(x) { + if (x.tensor.shape.length <= 1) { + this.output = x; + } else { + this.output = new _Tensor.default([], [x.tensor.shape.reduce((a, b) => a * b, 1)]); + this.output.replaceTensorData(x.tensor.data); + } + } + + _callGPU(x) { + if (!x.glTexture && !x.glTextureFragments) { + if (x.tensor.shape.length <= 2) { + x.createGLTexture({ + type: '2d', + format: 'float' + }); + } else if (x.tensor.shape.length > 2 && !x.is2DReshaped) { + x.reshapeTo2D(); + x.createGLTexture({ + type: '2d', + format: 'float' + }); + } + } + + if (!this.output) { + this.output = new _Tensor.default([], [x.glTextureShape.reduce((a, b) => a * b, 1)]); + this.output.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + if (x.glTextureFragments) { + x.convert2DRowFragmentedGLTextureToColStack(); + + _WebGL.webgl2.runProgram({ + program: this.flattenFragmentsProgram, + output: this.output, + inputs: [{ + input: x, + name: 'x' + }], + uniforms: [{ + value: this.output.glTextureShape[1], + type: 'int', + name: 'outputSize' + }, { + value: x.glTextureShape[0], + type: 'int', + name: 'inputRows' + }, { + value: x.glTextureShape[1], + type: 'int', + name: 'inputCols' + }], + supportsTextureFragments: true + }); + + x.removeGLTextureFragmentsAsColStack(); + } else { + _WebGL.webgl2.runProgram({ + program: this.flattenProgram, + output: this.output, + inputs: [{ + input: x, + name: 'x' + }], + uniforms: [{ + value: this.output.glTextureShape[1], + type: 'int', + name: 'outputSize' + }, { + value: x.glTextureShape[1], + type: 'int', + name: 'inputCols' + }], + supportsTextureFragments: true + }); + } + + if (this.outbound.length === 0) { + this.output.transferFromGLTexture(); + } + } + +} + +exports.default = Flatten; \ No newline at end of file diff --git a/lib/layers/core/Permute.js b/lib/layers/core/Permute.js new file mode 100644 index 0000000000..cafda5e68a --- /dev/null +++ b/lib/layers/core/Permute.js @@ -0,0 +1,194 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _last2 = _interopRequireDefault(require("lodash/last")); + +var _range2 = _interopRequireDefault(require("lodash/range")); + +var _isEqual2 = _interopRequireDefault(require("lodash/isEqual")); + +var _Layer = _interopRequireDefault(require("../../Layer")); + +var _Tensor = _interopRequireDefault(require("../../Tensor")); + +var _WebGL = require("../../WebGL2"); + +var _ndarrayOps = _interopRequireDefault(require("ndarray-ops")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +const mapInputProgramSource = "#version 300 es\r\nprecision highp float;\r\nprecision highp isampler2D;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D x;\r\nuniform isampler2D indexMap;\r\nuniform int inputCols;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n ivec2 size = textureSize(indexMap, 0);\r\n int out_x = int(float(size[0]) * outTex.x);\r\n int out_y = int(float(size[1]) * outTex.y);\r\n\r\n int index = texelFetch(indexMap, ivec2(out_x, out_y), 0).r;\r\n\r\n if (index != -1) {\r\n int rowIndex = int(floor(float(index) / float(inputCols)));\r\n int colIndex = int(mod(float(index), float(inputCols)));\r\n float val = texelFetch(x, ivec2(colIndex, rowIndex), 0).r;\r\n outColor = vec4(val);\r\n } else {\r\n outColor = vec4(0.0);\r\n }\r\n}\r\n"; + +class Permute extends _Layer.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = 'Permute'; + const { + dims = [] + } = attrs; + this.dims = dims.map(dim => dim - 1); + + if (this.gpu) { + this.mapInputProgram = _WebGL.webgl2.compileProgram(mapInputProgramSource); + } + } + + call(x) { + if (x.tensor.shape.length <= 1 || (0, _isEqual2.default)((0, _range2.default)(x.tensor.shape.length), this.dims)) { + this.output = x; + return this.output; + } + + if (this.gpu) { + this._callGPU(x); + } else { + this._callCPU(x); + } + + return this.output; + } + + _callCPU(x) { + if (this.dims.length !== x.tensor.shape.length) { + this.throwError('The specified dims permutation must match the number of dimensions.'); + } + + const outputShape = this.dims.map(i => x.tensor.shape[i]); + this.output = new _Tensor.default([], outputShape); + + _ndarrayOps.default.assign(this.output.tensor, x.tensor.transpose(...this.dims)); + } + + _createIndexMap() { + if (this.indexMap) { + return; + } + + const indices = new _Tensor.default([], this.inputShape, { + type: Int32Array + }); + const indicesRow = new _Tensor.default([], this.inputShape, { + type: Int32Array + }); + const indicesCol = new _Tensor.default([], this.inputShape, { + type: Int32Array + }); + + if (this.inputShape.length === 2) { + for (let i = 0; i < this.inputShape[0]; i++) { + _ndarrayOps.default.assigns(indicesRow.tensor.pick(i, null), i); + } + } else if (this.inputShape.length === 3) { + for (let i = 0; i < this.inputShape[0]; i++) { + for (let j = 0; j < this.inputShape[1]; j++) { + _ndarrayOps.default.assigns(indicesRow.tensor.pick(i, j, null), i * this.inputShape[1] + j); + } + } + } else if (this.inputShape.length === 4) { + for (let i = 0; i < this.inputShape[0]; i++) { + for (let j = 0; j < this.inputShape[1]; j++) { + for (let k = 0; k < this.inputShape[2]; k++) { + _ndarrayOps.default.assigns(indicesRow.tensor.pick(i, j, k, null), i * this.inputShape[1] * this.inputShape[2] + j * this.inputShape[2] + k); + } + } + } + } + + for (let c = 0; c < (0, _last2.default)(this.inputShape); c++) { + _ndarrayOps.default.assigns(indicesCol.tensor.pick(...Array(this.inputShape.length - 1).fill(null), c), c); + } + + _ndarrayOps.default.muls(indices.tensor, indicesRow.tensor, (0, _last2.default)(this.inputShape)); + + _ndarrayOps.default.addeq(indices.tensor, indicesCol.tensor); + + const outputShape = this.dims.map(i => this.inputShape[i]); + this.indexMap = new _Tensor.default([], outputShape, { + type: Int32Array + }); + + _ndarrayOps.default.assign(this.indexMap.tensor, indices.tensor.transpose(...this.dims)); + + if (outputShape.length > 2) { + this.indexMap.reshapeTo2D(); + } + + this.indexMap.createGLTexture({ + type: '2d', + format: 'int' + }); + } + + _callGPU(x) { + if (!x.glTexture) { + this.inputShape = x.tensor.shape; + + if (x.tensor.shape.length <= 2) { + x.createGLTexture({ + type: '2d', + format: 'float' + }); + } else if (x.tensor.shape.length > 2 && !x.is2DReshaped) { + x.reshapeTo2D(); + x.createGLTexture({ + type: '2d', + format: 'float' + }); + } + } else if (x.is2DReshaped || x.is2DSquareReshaped) { + this.inputShape = x.originalShape; + } else { + this.inputShape = x.tensor.shape; + } + + this._createIndexMap(); + + if (!this.output) { + const outputShape = this.dims.map(i => this.inputShape[i]); + this.output = new _Tensor.default([], outputShape); + + if (outputShape.length > 2) { + this.output.reshapeTo2D(); + } + + this.output.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + _WebGL.webgl2.runProgram({ + program: this.mapInputProgram, + output: this.output, + inputs: [{ + input: x, + name: 'x' + }, { + input: this.indexMap, + name: 'indexMap' + }], + uniforms: [{ + value: x.glTextureShape[1], + type: 'int', + name: 'inputCols' + }] + }); + + if (this.outbound.length === 0) { + this.output.transferFromGLTexture(); + + if (this.output.is2DReshaped) { + this.output.reshapeFrom2D(); + } else if (this.output.is2DSquareReshaped) { + this.output.reshapeFrom2DSquare(); + } + } + } + +} + +exports.default = Permute; \ No newline at end of file diff --git a/lib/layers/core/RepeatVector.js b/lib/layers/core/RepeatVector.js new file mode 100644 index 0000000000..df1eab5a16 --- /dev/null +++ b/lib/layers/core/RepeatVector.js @@ -0,0 +1,87 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _Layer = _interopRequireDefault(require("../../Layer")); + +var _Tensor = _interopRequireDefault(require("../../Tensor")); + +var _WebGL = require("../../WebGL2"); + +var _ndarrayUnsqueeze = _interopRequireDefault(require("ndarray-unsqueeze")); + +var _ndarrayTile = _interopRequireDefault(require("ndarray-tile")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +const programSource = "#version 300 es\r\nprecision highp float;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D x;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n outColor = texture(x, vec2(outTex.x, 0));\r\n}\r\n"; + +class RepeatVector extends _Layer.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = 'RepeatVector'; + const { + n = 1 + } = attrs; + this.n = n; + + if (this.gpu) { + this.program = _WebGL.webgl2.compileProgram(programSource); + } + } + + call(x) { + if (this.gpu) { + this._callGPU(x); + } else { + this._callCPU(x); + } + + return this.output; + } + + _callCPU(x) { + if (x.tensor.shape.length !== 1) { + this.throwError('Only 1D tensor inputs allowed.'); + } + + this.output = new _Tensor.default([], [this.n, x.tensor.shape[1]]); + this.output.tensor = (0, _ndarrayTile.default)((0, _ndarrayUnsqueeze.default)(x.tensor, 0), [this.n, 1]); + } + + _callGPU(x) { + if (!x.glTexture) { + x.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + if (!this.output) { + this.output = new _Tensor.default([], [this.n, x.glTextureShape[1]]); + this.output.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + _WebGL.webgl2.runProgram({ + program: this.program, + output: this.output, + inputs: [{ + input: x, + name: 'x' + }] + }); + + if (this.outbound.length === 0) { + this.output.transferFromGLTexture(); + } + } + +} + +exports.default = RepeatVector; \ No newline at end of file diff --git a/lib/layers/core/Reshape.js b/lib/layers/core/Reshape.js new file mode 100644 index 0000000000..c056f7050d --- /dev/null +++ b/lib/layers/core/Reshape.js @@ -0,0 +1,180 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _last2 = _interopRequireDefault(require("lodash/last")); + +var _Layer = _interopRequireDefault(require("../../Layer")); + +var _Tensor = _interopRequireDefault(require("../../Tensor")); + +var _WebGL = require("../../WebGL2"); + +var _ndarrayOps = _interopRequireDefault(require("ndarray-ops")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +const mapInputProgramSource = "#version 300 es\r\nprecision highp float;\r\nprecision highp isampler2D;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D x;\r\nuniform isampler2D indexMap;\r\nuniform int inputCols;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n ivec2 size = textureSize(indexMap, 0);\r\n int out_x = int(float(size[0]) * outTex.x);\r\n int out_y = int(float(size[1]) * outTex.y);\r\n\r\n int index = texelFetch(indexMap, ivec2(out_x, out_y), 0).r;\r\n\r\n if (index != -1) {\r\n int rowIndex = int(floor(float(index) / float(inputCols)));\r\n int colIndex = int(mod(float(index), float(inputCols)));\r\n float val = texelFetch(x, ivec2(colIndex, rowIndex), 0).r;\r\n outColor = vec4(val);\r\n } else {\r\n outColor = vec4(0.0);\r\n }\r\n}\r\n"; + +class Reshape extends _Layer.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = 'Reshape'; + const { + target_shape = [] + } = attrs; + this.targetShape = target_shape; + + if (this.gpu) { + this.mapInputProgram = _WebGL.webgl2.compileProgram(mapInputProgramSource); + } + } + + call(x) { + if (this.gpu) { + this._callGPU(x); + } else { + this._callCPU(x); + } + + return this.output; + } + + _callCPU(x) { + if (this.targetShape.reduce((a, b) => a * b, 1) !== x.tensor.size) { + this.throwError('The total size of new array must be unchanged in reshape layer.'); + } + + this.output = new _Tensor.default([], this.targetShape); + this.output.replaceTensorData(x.tensor.data); + } + + _createIndexMap() { + if (this.indexMap) { + return; + } + + const indices = new _Tensor.default([], this.inputShape, { + type: Int32Array + }); + const indicesRow = new _Tensor.default([], this.inputShape, { + type: Int32Array + }); + const indicesCol = new _Tensor.default([], this.inputShape, { + type: Int32Array + }); + + if (this.inputShape.length === 2) { + for (let i = 0; i < this.inputShape[0]; i++) { + _ndarrayOps.default.assigns(indicesRow.tensor.pick(i, null), i); + } + } else if (this.inputShape.length === 3) { + for (let i = 0; i < this.inputShape[0]; i++) { + for (let j = 0; j < this.inputShape[1]; j++) { + _ndarrayOps.default.assigns(indicesRow.tensor.pick(i, j, null), i * this.inputShape[1] + j); + } + } + } else if (this.inputShape.length === 4) { + for (let i = 0; i < this.inputShape[0]; i++) { + for (let j = 0; j < this.inputShape[1]; j++) { + for (let k = 0; k < this.inputShape[2]; k++) { + _ndarrayOps.default.assigns(indicesRow.tensor.pick(i, j, k, null), i * this.inputShape[1] * this.inputShape[2] + j * this.inputShape[2] + k); + } + } + } + } + + for (let c = 0; c < (0, _last2.default)(this.inputShape); c++) { + _ndarrayOps.default.assigns(indicesCol.tensor.pick(...Array(this.inputShape.length - 1).fill(null), c), c); + } + + _ndarrayOps.default.muls(indices.tensor, indicesRow.tensor, (0, _last2.default)(this.inputShape)); + + _ndarrayOps.default.addeq(indices.tensor, indicesCol.tensor); + + this.indexMap = new _Tensor.default([], this.targetShape, { + type: Int32Array + }); + this.indexMap.replaceTensorData(new Int32Array(indices.tensor.data)); + + if (this.targetShape.length > 2) { + this.indexMap.reshapeTo2D(); + } + + this.indexMap.createGLTexture({ + type: '2d', + format: 'int' + }); + } + + _callGPU(x) { + if (!x.glTexture) { + this.inputShape = x.tensor.shape; + + if (x.tensor.shape.length <= 2) { + x.createGLTexture({ + type: '2d', + format: 'float' + }); + } else if (x.tensor.shape.length > 2 && !x.is2DReshaped) { + x.reshapeTo2D(); + x.createGLTexture({ + type: '2d', + format: 'float' + }); + } + } else if (x.is2DReshaped || x.is2DSquareReshaped) { + this.inputShape = x.originalShape; + } else { + this.inputShape = x.tensor.shape; + } + + this._createIndexMap(); + + if (!this.output) { + this.output = new _Tensor.default([], this.targetShape); + + if (this.targetShape.length > 2) { + this.output.reshapeTo2D(); + } + + this.output.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + _WebGL.webgl2.runProgram({ + program: this.mapInputProgram, + output: this.output, + inputs: [{ + input: x, + name: 'x' + }, { + input: this.indexMap, + name: 'indexMap' + }], + uniforms: [{ + value: x.glTextureShape[1], + type: 'int', + name: 'inputCols' + }] + }); + + if (this.outbound.length === 0) { + this.output.transferFromGLTexture(); + + if (this.output.is2DReshaped) { + this.output.reshapeFrom2D(); + } else if (this.output.is2DSquareReshaped) { + this.output.reshapeFrom2DSquare(); + } + } + } + +} + +exports.default = Reshape; \ No newline at end of file diff --git a/lib/layers/core/SpatialDropout1D.js b/lib/layers/core/SpatialDropout1D.js new file mode 100644 index 0000000000..a42b324b4b --- /dev/null +++ b/lib/layers/core/SpatialDropout1D.js @@ -0,0 +1,29 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _Layer = _interopRequireDefault(require("../../Layer")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +class SpatialDropout1D extends _Layer.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = 'SpatialDropout1D'; + const { + p = 0.5 + } = attrs; + this.p = Math.min(Math.max(0, p), 1); + } + + call(x) { + this.output = x; + return this.output; + } + +} + +exports.default = SpatialDropout1D; \ No newline at end of file diff --git a/lib/layers/core/SpatialDropout2D.js b/lib/layers/core/SpatialDropout2D.js new file mode 100644 index 0000000000..38949bd9f7 --- /dev/null +++ b/lib/layers/core/SpatialDropout2D.js @@ -0,0 +1,31 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _Layer = _interopRequireDefault(require("../../Layer")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +class SpatialDropout2D extends _Layer.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = 'SpatialDropout2D'; + const { + rate = 0.5, + data_format = 'channels_last' + } = attrs; + this.rate = Math.min(Math.max(0, rate), 1); + this.dataFormat = data_format; + } + + call(x) { + this.output = x; + return this.output; + } + +} + +exports.default = SpatialDropout2D; \ No newline at end of file diff --git a/lib/layers/core/SpatialDropout3D.js b/lib/layers/core/SpatialDropout3D.js new file mode 100644 index 0000000000..abbe65a7ff --- /dev/null +++ b/lib/layers/core/SpatialDropout3D.js @@ -0,0 +1,31 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _Layer = _interopRequireDefault(require("../../Layer")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +class SpatialDropout3D extends _Layer.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = 'SpatialDropout3D'; + const { + rate = 0.5, + data_format = 'channels_last' + } = attrs; + this.rate = Math.min(Math.max(0, rate), 1); + this.dataFormat = data_format; + } + + call(x) { + this.output = x; + return this.output; + } + +} + +exports.default = SpatialDropout3D; \ No newline at end of file diff --git a/lib/layers/core/index.js b/lib/layers/core/index.js new file mode 100644 index 0000000000..9a078e0b87 --- /dev/null +++ b/lib/layers/core/index.js @@ -0,0 +1,87 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +Object.defineProperty(exports, "Dense", { + enumerable: true, + get: function () { + return _Dense.default; + } +}); +Object.defineProperty(exports, "Activation", { + enumerable: true, + get: function () { + return _Activation.default; + } +}); +Object.defineProperty(exports, "Dropout", { + enumerable: true, + get: function () { + return _Dropout.default; + } +}); +Object.defineProperty(exports, "SpatialDropout1D", { + enumerable: true, + get: function () { + return _SpatialDropout1D.default; + } +}); +Object.defineProperty(exports, "SpatialDropout2D", { + enumerable: true, + get: function () { + return _SpatialDropout2D.default; + } +}); +Object.defineProperty(exports, "SpatialDropout3D", { + enumerable: true, + get: function () { + return _SpatialDropout3D.default; + } +}); +Object.defineProperty(exports, "Flatten", { + enumerable: true, + get: function () { + return _Flatten.default; + } +}); +Object.defineProperty(exports, "Reshape", { + enumerable: true, + get: function () { + return _Reshape.default; + } +}); +Object.defineProperty(exports, "Permute", { + enumerable: true, + get: function () { + return _Permute.default; + } +}); +Object.defineProperty(exports, "RepeatVector", { + enumerable: true, + get: function () { + return _RepeatVector.default; + } +}); + +var _Dense = _interopRequireDefault(require("./Dense")); + +var _Activation = _interopRequireDefault(require("./Activation")); + +var _Dropout = _interopRequireDefault(require("./Dropout")); + +var _SpatialDropout1D = _interopRequireDefault(require("./SpatialDropout1D")); + +var _SpatialDropout2D = _interopRequireDefault(require("./SpatialDropout2D")); + +var _SpatialDropout3D = _interopRequireDefault(require("./SpatialDropout3D")); + +var _Flatten = _interopRequireDefault(require("./Flatten")); + +var _Reshape = _interopRequireDefault(require("./Reshape")); + +var _Permute = _interopRequireDefault(require("./Permute")); + +var _RepeatVector = _interopRequireDefault(require("./RepeatVector")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } \ No newline at end of file diff --git a/lib/layers/embeddings/Embedding.js b/lib/layers/embeddings/Embedding.js new file mode 100644 index 0000000000..0011414a94 --- /dev/null +++ b/lib/layers/embeddings/Embedding.js @@ -0,0 +1,94 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _Layer = _interopRequireDefault(require("../../Layer")); + +var _Tensor = _interopRequireDefault(require("../../Tensor")); + +var _WebGL = require("../../WebGL2"); + +var _ndarrayOps = _interopRequireDefault(require("ndarray-ops")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +const programSource = "#version 300 es\r\nprecision highp float;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D x;\r\nuniform sampler2D embeddings;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n ivec2 x_size = textureSize(x, 0);\r\n ivec2 embeddings_size = textureSize(embeddings, 0);\r\n int out_x = int(float(embeddings_size[0]) * outTex.x);\r\n int out_y = int(float(x_size[0]) * outTex.y);\r\n\r\n int index = int(texelFetch(x, ivec2(out_y, 0), 0).r);\r\n outColor = texelFetch(embeddings, ivec2(out_x, index), 0);\r\n}\r\n"; + +class Embedding extends _Layer.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = 'Embedding'; + const { + input_dim = 1, + output_dim = 1, + input_length = 0, + mask_zero = false + } = attrs; + this.inputDim = input_dim; + this.outputDim = output_dim; + this.inputLength = input_length; + this.maskZero = mask_zero; + this.params = ['embeddings']; + + if (this.gpu) { + this.program = _WebGL.webgl2.compileProgram(programSource); + } + } + + call(x) { + if (this.gpu) { + this._callGPU(x); + } else { + this._callCPU(x); + } + + return this.output; + } + + _callCPU(x) { + this.output = new _Tensor.default([], [x.tensor.shape[0], this.weights['embeddings'].tensor.shape[1]]); + + for (let i = 0, len = x.tensor.shape[0]; i < len; i++) { + _ndarrayOps.default.assign(this.output.tensor.pick(i, null), this.weights['embeddings'].tensor.pick(x.tensor.get(i), null)); + } + } + + _callGPU(x) { + if (!x.glTexture) { + x.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + if (!this.output) { + this.output = new _Tensor.default([], [x.glTextureShape[1], this.weights['embeddings'].glTextureShape[1]]); + this.output.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + _WebGL.webgl2.runProgram({ + program: this.program, + output: this.output, + inputs: [{ + input: x, + name: 'x' + }, { + input: this.weights['embeddings'], + name: 'embeddings' + }] + }); + + if (this.outbound.length === 0) { + this.output.transferFromGLTexture(); + } + } + +} + +exports.default = Embedding; \ No newline at end of file diff --git a/lib/layers/embeddings/index.js b/lib/layers/embeddings/index.js new file mode 100644 index 0000000000..68fc079719 --- /dev/null +++ b/lib/layers/embeddings/index.js @@ -0,0 +1,15 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +Object.defineProperty(exports, "Embedding", { + enumerable: true, + get: function () { + return _Embedding.default; + } +}); + +var _Embedding = _interopRequireDefault(require("./Embedding")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } \ No newline at end of file diff --git a/lib/layers/index.js b/lib/layers/index.js new file mode 100644 index 0000000000..218f1c290e --- /dev/null +++ b/lib/layers/index.js @@ -0,0 +1,148 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +var _exportNames = { + InputLayer: true +}; +Object.defineProperty(exports, "InputLayer", { + enumerable: true, + get: function () { + return _InputLayer.default; + } +}); + +var _InputLayer = _interopRequireDefault(require("./InputLayer")); + +var _advanced_activations = require("./advanced_activations"); + +Object.keys(_advanced_activations).forEach(function (key) { + if (key === "default" || key === "__esModule") return; + if (Object.prototype.hasOwnProperty.call(_exportNames, key)) return; + Object.defineProperty(exports, key, { + enumerable: true, + get: function () { + return _advanced_activations[key]; + } + }); +}); + +var _convolutional = require("./convolutional"); + +Object.keys(_convolutional).forEach(function (key) { + if (key === "default" || key === "__esModule") return; + if (Object.prototype.hasOwnProperty.call(_exportNames, key)) return; + Object.defineProperty(exports, key, { + enumerable: true, + get: function () { + return _convolutional[key]; + } + }); +}); + +var _core = require("./core"); + +Object.keys(_core).forEach(function (key) { + if (key === "default" || key === "__esModule") return; + if (Object.prototype.hasOwnProperty.call(_exportNames, key)) return; + Object.defineProperty(exports, key, { + enumerable: true, + get: function () { + return _core[key]; + } + }); +}); + +var _embeddings = require("./embeddings"); + +Object.keys(_embeddings).forEach(function (key) { + if (key === "default" || key === "__esModule") return; + if (Object.prototype.hasOwnProperty.call(_exportNames, key)) return; + Object.defineProperty(exports, key, { + enumerable: true, + get: function () { + return _embeddings[key]; + } + }); +}); + +var _merge = require("./merge"); + +Object.keys(_merge).forEach(function (key) { + if (key === "default" || key === "__esModule") return; + if (Object.prototype.hasOwnProperty.call(_exportNames, key)) return; + Object.defineProperty(exports, key, { + enumerable: true, + get: function () { + return _merge[key]; + } + }); +}); + +var _noise = require("./noise"); + +Object.keys(_noise).forEach(function (key) { + if (key === "default" || key === "__esModule") return; + if (Object.prototype.hasOwnProperty.call(_exportNames, key)) return; + Object.defineProperty(exports, key, { + enumerable: true, + get: function () { + return _noise[key]; + } + }); +}); + +var _normalization = require("./normalization"); + +Object.keys(_normalization).forEach(function (key) { + if (key === "default" || key === "__esModule") return; + if (Object.prototype.hasOwnProperty.call(_exportNames, key)) return; + Object.defineProperty(exports, key, { + enumerable: true, + get: function () { + return _normalization[key]; + } + }); +}); + +var _pooling = require("./pooling"); + +Object.keys(_pooling).forEach(function (key) { + if (key === "default" || key === "__esModule") return; + if (Object.prototype.hasOwnProperty.call(_exportNames, key)) return; + Object.defineProperty(exports, key, { + enumerable: true, + get: function () { + return _pooling[key]; + } + }); +}); + +var _recurrent = require("./recurrent"); + +Object.keys(_recurrent).forEach(function (key) { + if (key === "default" || key === "__esModule") return; + if (Object.prototype.hasOwnProperty.call(_exportNames, key)) return; + Object.defineProperty(exports, key, { + enumerable: true, + get: function () { + return _recurrent[key]; + } + }); +}); + +var _wrappers = require("./wrappers"); + +Object.keys(_wrappers).forEach(function (key) { + if (key === "default" || key === "__esModule") return; + if (Object.prototype.hasOwnProperty.call(_exportNames, key)) return; + Object.defineProperty(exports, key, { + enumerable: true, + get: function () { + return _wrappers[key]; + } + }); +}); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } \ No newline at end of file diff --git a/lib/layers/merge/Add.js b/lib/layers/merge/Add.js new file mode 100644 index 0000000000..1cbd95c0c4 --- /dev/null +++ b/lib/layers/merge/Add.js @@ -0,0 +1,48 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _Merge2 = _interopRequireDefault(require("./_Merge")); + +var _Tensor = _interopRequireDefault(require("../../Tensor")); + +var _WebGL = require("../../WebGL2"); + +var _createGLSLProgram = _interopRequireDefault(require("../../webgl/dynamic/createGLSLProgram")); + +var _ndarrayOps = _interopRequireDefault(require("ndarray-ops")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +class Add extends _Merge2.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = 'Add'; + this.mode = 'sum'; + } + + _callCPU(inputs) { + const outputShape = inputs[0].tensor.shape.slice(); + this.output = new _Tensor.default([], outputShape); + + for (let i = 0; i < inputs.length; i++) { + _ndarrayOps.default.addeq(this.output.tensor, inputs[i].tensor); + } + } + + _callGPU(inputs) { + if (!this.mergeProgram) { + const shape = inputs[0].glTextureFragments ? inputs[0].glTextureFragmentShape : inputs[0].glTextureShape; + const mergeProgramSource = (0, _createGLSLProgram.default)('add', inputs.length, shape); + this.mergeProgram = _WebGL.webgl2.compileProgram(mergeProgramSource); + } + + super._callGPU(inputs); + } + +} + +exports.default = Add; \ No newline at end of file diff --git a/lib/layers/merge/Average.js b/lib/layers/merge/Average.js new file mode 100644 index 0000000000..7386a75bdb --- /dev/null +++ b/lib/layers/merge/Average.js @@ -0,0 +1,50 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _Merge2 = _interopRequireDefault(require("./_Merge")); + +var _Tensor = _interopRequireDefault(require("../../Tensor")); + +var _WebGL = require("../../WebGL2"); + +var _createGLSLProgram = _interopRequireDefault(require("../../webgl/dynamic/createGLSLProgram")); + +var _ndarrayOps = _interopRequireDefault(require("ndarray-ops")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +class Average extends _Merge2.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = 'Average'; + this.mode = 'ave'; + } + + _callCPU(inputs) { + const outputShape = inputs[0].tensor.shape.slice(); + this.output = new _Tensor.default([], outputShape); + + for (let i = 0; i < inputs.length; i++) { + _ndarrayOps.default.addeq(this.output.tensor, inputs[i].tensor); + } + + _ndarrayOps.default.divseq(this.output.tensor, inputs.length); + } + + _callGPU(inputs) { + if (!this.mergeProgram) { + const shape = inputs[0].glTextureFragments ? inputs[0].glTextureFragmentShape : inputs[0].glTextureShape; + const mergeProgramSource = (0, _createGLSLProgram.default)('average', inputs.length, shape); + this.mergeProgram = _WebGL.webgl2.compileProgram(mergeProgramSource); + } + + super._callGPU(inputs); + } + +} + +exports.default = Average; \ No newline at end of file diff --git a/lib/layers/merge/Concatenate.js b/lib/layers/merge/Concatenate.js new file mode 100644 index 0000000000..1ae70447b6 --- /dev/null +++ b/lib/layers/merge/Concatenate.js @@ -0,0 +1,143 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _sum2 = _interopRequireDefault(require("lodash/sum")); + +var _Merge2 = _interopRequireDefault(require("./_Merge")); + +var _Tensor = _interopRequireDefault(require("../../Tensor")); + +var _WebGL = require("../../WebGL2"); + +var _createGLSLProgram = _interopRequireDefault(require("../../webgl/dynamic/createGLSLProgram")); + +var tensorUtils = _interopRequireWildcard(require("../../utils/tensorUtils")); + +var _ndarrayConcatRows = _interopRequireDefault(require("ndarray-concat-rows")); + +function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } } + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +class Concatenate extends _Merge2.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = 'Concatenate'; + this.mode = 'concat'; + const { + axis = -1 + } = attrs; + this.concatAxis = axis <= 0 ? axis : axis - 1; + } + + _callCPU(inputs) { + const outputShape = inputs[0].tensor.shape.slice(); + + const _concatAxis = this.concatAxis < 0 ? outputShape.length + this.concatAxis : this.concatAxis; + + inputs.slice(1, inputs.length).forEach(x => { + const d = x.tensor.shape.slice()[_concatAxis]; + + outputShape[_concatAxis] += d; + }); + this.output = new _Tensor.default([], outputShape); + + if (_concatAxis === 0) { + (0, _ndarrayConcatRows.default)(this.output.tensor, inputs.map(x => x.tensor)); + } else { + let dimsAxisSwap = [_concatAxis]; + + for (let i = 0; i < inputs[0].tensor.shape.length; i++) { + if (i !== _concatAxis) dimsAxisSwap.push(i); + } + + (0, _ndarrayConcatRows.default)(this.output.tensor.transpose(...dimsAxisSwap), inputs.map(x => x.tensor.transpose(...dimsAxisSwap))); + } + } + + _callGPU(inputs) { + inputs.forEach(input => { + if (!input.glTexture && !input.glTextureFragments) { + input.createGLTexture({ + type: '2d', + format: 'float', + supportsTextureFragments: true + }); + } + }); + const outputShape = inputs[0].glTextureShape.slice(); + let _concatAxis = 1; + + if (inputs[0].is2DReshaped) { + if (this.concatAxis === -1 || this.concatAxis === inputs[0].originalShape.length - 1) { + _concatAxis = 1; + } else { + this.throwError('specified axis not supported for now.'); + } + } else { + if (this.concatAxis === -1 || this.concatAxis === 1) { + _concatAxis = 1; + } else if (this.concatAxis === -2 || this.concatAxis === 0) { + _concatAxis = 0; + } else { + this.throwError('specified axis not supported for now.'); + } + } + + outputShape[_concatAxis] = (0, _sum2.default)(inputs.map(input => input.glTextureShape[_concatAxis])); + + if (!this.output) { + this.output = new _Tensor.default([], outputShape); + this.output.createGLTexture({ + type: '2d', + format: 'float', + supportsTextureFragments: _concatAxis === 1 + }); + + if (inputs[0].is1D) { + this.output.is1D = inputs[0].is1D; + } else if (inputs[0].is2DReshaped) { + this.output.is2DReshaped = inputs[0].is2DReshaped; + this.output.originalShape = inputs[0].originalShape.slice(); + + const _concatAxis = this.concatAxis < 0 ? this.output.originalShape.length + this.concatAxis : this.concatAxis; + + this.output.originalShape[_concatAxis] = (0, _sum2.default)(inputs.map(input => input.originalShape[_concatAxis])); + this.output.indicesForReshaped = tensorUtils.createIndicesFor2DReshaped(this.output.originalShape, false, _concatAxis); + } + } + + if (!this.mergeProgram) { + const outputShape = this.output.glTextureFragments ? this.output.glTextureFragmentShape : this.output.glTextureShape; + const mergeProgramSource = (0, _createGLSLProgram.default)('concatenate', inputs.length, inputs.map(input => input.glTextureShape), outputShape, _concatAxis); + this.mergeProgram = _WebGL.webgl2.compileProgram(mergeProgramSource); + } + + _WebGL.webgl2.runProgram({ + program: this.mergeProgram, + output: this.output, + inputs: inputs.map((input, i) => ({ + input, + name: `inputs[${i}]` + })), + supportsTextureFragments: true + }); + + if (this.outbound.length === 0) { + this.output.transferFromGLTexture(); + + if (this.output.is2DReshaped) { + this.output.reshapeFrom2D(); + } else if (this.output.is2DSquareReshaped) { + this.output.reshapeFrom2DSquare(); + } + } + } + +} + +exports.default = Concatenate; \ No newline at end of file diff --git a/lib/layers/merge/Dot.js b/lib/layers/merge/Dot.js new file mode 100644 index 0000000000..b0c09931b9 --- /dev/null +++ b/lib/layers/merge/Dot.js @@ -0,0 +1,159 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _Merge2 = _interopRequireDefault(require("./_Merge")); + +var _Tensor = _interopRequireDefault(require("../../Tensor")); + +var _WebGL = require("../../WebGL2"); + +var _ndarrayGemm = _interopRequireDefault(require("ndarray-gemm")); + +var _ndarrayOps = _interopRequireDefault(require("ndarray-ops")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +const mergeProgramSource = "#version 300 es\r\nprecision highp float;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D input1;\r\nuniform sampler2D input2;\r\nuniform int rows;\r\nuniform int cols;\r\nuniform int dotAxis1;\r\nuniform int dotAxis2;\r\nuniform int commonDim;\r\nuniform bool normalize;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n int out_x = int(float(cols) * outTex.x);\r\n int out_y = int(float(rows) * outTex.y);\r\n\r\n float sum = 0.;\r\n float a = 0.;\r\n float b = 0.;\r\n float norm1 = 0.;\r\n float norm2 = 0.;\r\n\r\n for (int i = 0; i < commonDim; ++i) {\r\n if (dotAxis1 == 0 && dotAxis2 == 0) {\r\n a = texelFetch(input1, ivec2(out_y, i), 0).r;\r\n b = texelFetch(input2, ivec2(out_x, i), 0).r;\r\n } else if (dotAxis1 == 1 && dotAxis2 == 1) {\r\n a = texelFetch(input1, ivec2(i, out_y), 0).r;\r\n b = texelFetch(input2, ivec2(i, out_x), 0).r;\r\n }\r\n\r\n sum += a * b;\r\n\r\n if (normalize) {\r\n norm1 += a * a;\r\n norm2 += b * b;\r\n }\r\n }\r\n\r\n if (normalize) {\r\n sum /= sqrt(norm1) * sqrt(norm2);\r\n }\r\n\r\n outColor = vec4(sum);\r\n}\r\n"; + +class Dot extends _Merge2.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = 'Dot'; + this.mode = 'dot'; + const { + axes = -1, + normalize = false + } = attrs; + + if (Array.isArray(axes)) { + this.dotAxes = [axes[0] <= 0 ? axes[0] : axes[0] - 1, axes[1] <= 0 ? axes[1] : axes[1] - 1]; + } else { + this.dotAxes = [axes <= 0 ? axes : axes - 1, axes <= 0 ? axes : axes - 1]; + } + + this.normalize = normalize; + + if (this.gpu) { + this.mergeProgram = _WebGL.webgl2.compileProgram(mergeProgramSource); + } + } + + _calcOutputShape(inputShapes) { + let shape1 = inputShapes[0].slice(); + let shape2 = inputShapes[1].slice(); + shape1.splice(this.dotAxes[0], 1); + shape2.splice(this.dotAxes[1], 1); + this.outputShape = shape1.concat(shape2); + + if (this.outputShape.length === 1) { + this.outputShape.push(1); + } + } + + _callCPU(inputs) { + this._calcOutputShape([inputs[0].tensor.shape, inputs[1].tensor.shape]); + + this.output = new _Tensor.default([], this.outputShape); + + if (inputs[0].tensor.shape.length === 2 && inputs[1].tensor.shape.length === 2) { + if (this.dotAxes[0] === 0 && this.dotAxes[1] === 0) { + if (this.normalize) { + for (let i = 0; i < inputs[0].tensor.shape[1]; i++) { + _ndarrayOps.default.divseq(inputs[0].tensor.pick(null, i), _ndarrayOps.default.norm2(inputs[0].tensor.pick(null, i))); + } + + for (let i = 0; i < inputs[1].tensor.shape[1]; i++) { + _ndarrayOps.default.divseq(inputs[1].tensor.pick(null, i), _ndarrayOps.default.norm2(inputs[1].tensor.pick(null, i))); + } + } + + (0, _ndarrayGemm.default)(this.output.tensor, inputs[0].tensor.transpose(1, 0), inputs[1].tensor); + } else if (this.dotAxes[0] === 1 && this.dotAxes[1] === 1) { + if (this.normalize) { + for (let i = 0; i < inputs[0].tensor.shape[0]; i++) { + _ndarrayOps.default.divseq(inputs[0].tensor.pick(i, null), _ndarrayOps.default.norm2(inputs[0].tensor.pick(i, null))); + } + + for (let i = 0; i < inputs[1].tensor.shape[0]; i++) { + _ndarrayOps.default.divseq(inputs[1].tensor.pick(i, null), _ndarrayOps.default.norm2(inputs[1].tensor.pick(i, null))); + } + } + + (0, _ndarrayGemm.default)(this.output.tensor, inputs[0].tensor, inputs[1].tensor.transpose(1, 0)); + } + } else { + this.throwError('dot mode for 3+ dim tensors not yet implemented.'); + } + } + + _callGPU(inputs) { + inputs.forEach(input => { + if (!input.glTexture && !input.glTextureFragments) { + input.createGLTexture({ + type: '2d', + format: 'float' + }); + } + }); + + this._calcOutputShape([inputs[0].glTextureShape, inputs[1].glTextureShape]); + + if (!this.output) { + this.output = new _Tensor.default([], this.outputShape); + this.output.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + const commonDim = inputs[0].glTextureShape[this.dotAxes[0]]; + + _WebGL.webgl2.runProgram({ + program: this.mergeProgram, + output: this.output, + inputs: [{ + input: inputs[0], + name: 'input1' + }, { + input: inputs[1], + name: 'input2' + }], + uniforms: [{ + value: this.output.glTextureShape[0], + type: 'int', + name: 'rows' + }, { + value: this.output.glTextureShape[1], + type: 'int', + name: 'cols' + }, { + value: this.dotAxes[0], + type: 'int', + name: 'dotAxis1' + }, { + value: this.dotAxes[1], + type: 'int', + name: 'dotAxis2' + }, { + value: commonDim, + type: 'int', + name: 'commonDim' + }, { + value: +this.normalize, + type: 'bool', + name: 'normalize' + }] + }); + + if (this.outbound.length === 0) { + this.output.transferFromGLTexture(); + } + } + +} + +exports.default = Dot; \ No newline at end of file diff --git a/lib/layers/merge/Maximum.js b/lib/layers/merge/Maximum.js new file mode 100644 index 0000000000..a80055bd19 --- /dev/null +++ b/lib/layers/merge/Maximum.js @@ -0,0 +1,50 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _Merge2 = _interopRequireDefault(require("./_Merge")); + +var _Tensor = _interopRequireDefault(require("../../Tensor")); + +var _WebGL = require("../../WebGL2"); + +var _createGLSLProgram = _interopRequireDefault(require("../../webgl/dynamic/createGLSLProgram")); + +var _ndarrayOps = _interopRequireDefault(require("ndarray-ops")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +class Maximum extends _Merge2.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = 'Maximum'; + this.mode = 'max'; + } + + _callCPU(inputs) { + const outputShape = inputs[0].tensor.shape.slice(); + this.output = new _Tensor.default([], outputShape); + + _ndarrayOps.default.assign(this.output.tensor, inputs[0].tensor); + + for (let i = 1; i < inputs.length; i++) { + _ndarrayOps.default.maxeq(this.output.tensor, inputs[i].tensor); + } + } + + _callGPU(inputs) { + if (!this.mergeProgram) { + const shape = inputs[0].glTextureFragments ? inputs[0].glTextureFragmentShape : inputs[0].glTextureShape; + const mergeProgramSource = (0, _createGLSLProgram.default)('maximum', inputs.length, shape); + this.mergeProgram = _WebGL.webgl2.compileProgram(mergeProgramSource); + } + + super._callGPU(inputs); + } + +} + +exports.default = Maximum; \ No newline at end of file diff --git a/lib/layers/merge/Minimum.js b/lib/layers/merge/Minimum.js new file mode 100644 index 0000000000..f935cc4db5 --- /dev/null +++ b/lib/layers/merge/Minimum.js @@ -0,0 +1,50 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _Merge2 = _interopRequireDefault(require("./_Merge")); + +var _Tensor = _interopRequireDefault(require("../../Tensor")); + +var _WebGL = require("../../WebGL2"); + +var _createGLSLProgram = _interopRequireDefault(require("../../webgl/dynamic/createGLSLProgram")); + +var _ndarrayOps = _interopRequireDefault(require("ndarray-ops")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +class Minimum extends _Merge2.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = 'Minimum'; + this.mode = 'min'; + } + + _callCPU(inputs) { + const outputShape = inputs[0].tensor.shape.slice(); + this.output = new _Tensor.default([], outputShape); + + _ndarrayOps.default.assign(this.output.tensor, inputs[0].tensor); + + for (let i = 1; i < inputs.length; i++) { + _ndarrayOps.default.mineq(this.output.tensor, inputs[i].tensor); + } + } + + _callGPU(inputs) { + if (!this.mergeProgram) { + const shape = inputs[0].glTextureFragments ? inputs[0].glTextureFragmentShape : inputs[0].glTextureShape; + const mergeProgramSource = (0, _createGLSLProgram.default)('minimum', inputs.length, shape); + this.mergeProgram = _WebGL.webgl2.compileProgram(mergeProgramSource); + } + + super._callGPU(inputs); + } + +} + +exports.default = Minimum; \ No newline at end of file diff --git a/lib/layers/merge/Multiply.js b/lib/layers/merge/Multiply.js new file mode 100644 index 0000000000..bf2a9833fe --- /dev/null +++ b/lib/layers/merge/Multiply.js @@ -0,0 +1,50 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _Merge2 = _interopRequireDefault(require("./_Merge")); + +var _Tensor = _interopRequireDefault(require("../../Tensor")); + +var _WebGL = require("../../WebGL2"); + +var _createGLSLProgram = _interopRequireDefault(require("../../webgl/dynamic/createGLSLProgram")); + +var _ndarrayOps = _interopRequireDefault(require("ndarray-ops")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +class Multiply extends _Merge2.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = 'Multiply'; + this.mode = 'mul'; + } + + _callCPU(inputs) { + const outputShape = inputs[0].tensor.shape.slice(); + this.output = new _Tensor.default([], outputShape); + + _ndarrayOps.default.assigns(this.output.tensor, 1); + + for (let i = 0; i < inputs.length; i++) { + _ndarrayOps.default.muleq(this.output.tensor, inputs[i].tensor); + } + } + + _callGPU(inputs) { + if (!this.mergeProgram) { + const shape = inputs[0].glTextureFragments ? inputs[0].glTextureFragmentShape : inputs[0].glTextureShape; + const mergeProgramSource = (0, _createGLSLProgram.default)('multiply', inputs.length, shape); + this.mergeProgram = _WebGL.webgl2.compileProgram(mergeProgramSource); + } + + super._callGPU(inputs); + } + +} + +exports.default = Multiply; \ No newline at end of file diff --git a/lib/layers/merge/Subtract.js b/lib/layers/merge/Subtract.js new file mode 100644 index 0000000000..23fe170588 --- /dev/null +++ b/lib/layers/merge/Subtract.js @@ -0,0 +1,50 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _Merge2 = _interopRequireDefault(require("./_Merge")); + +var _Tensor = _interopRequireDefault(require("../../Tensor")); + +var _WebGL = require("../../WebGL2"); + +var _createGLSLProgram = _interopRequireDefault(require("../../webgl/dynamic/createGLSLProgram")); + +var _ndarrayOps = _interopRequireDefault(require("ndarray-ops")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +class Subtract extends _Merge2.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = 'Subtract'; + this.mode = 'diff'; + } + + _callCPU(inputs) { + if (inputs.length !== 2) { + this.throwError('Inputs should be an array of 2 Tensors.'); + } + + const outputShape = inputs[0].tensor.shape.slice(); + this.output = new _Tensor.default([], outputShape); + + _ndarrayOps.default.sub(this.output.tensor, inputs[0].tensor, inputs[1].tensor); + } + + _callGPU(inputs) { + if (!this.mergeProgram) { + const shape = inputs[0].glTextureFragments ? inputs[0].glTextureFragmentShape : inputs[0].glTextureShape; + const mergeProgramSource = (0, _createGLSLProgram.default)('subtract', inputs.length, shape); + this.mergeProgram = _WebGL.webgl2.compileProgram(mergeProgramSource); + } + + super._callGPU(inputs); + } + +} + +exports.default = Subtract; \ No newline at end of file diff --git a/lib/layers/merge/_Merge.js b/lib/layers/merge/_Merge.js new file mode 100644 index 0000000000..79543bc51b --- /dev/null +++ b/lib/layers/merge/_Merge.js @@ -0,0 +1,144 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _range2 = _interopRequireDefault(require("lodash/range")); + +var _isEqual2 = _interopRequireDefault(require("lodash/isEqual")); + +var _Layer = _interopRequireDefault(require("../../Layer")); + +var _Tensor = _interopRequireDefault(require("../../Tensor")); + +var _WebGL = require("../../WebGL2"); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +class _Merge extends _Layer.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = '_Merge'; + this.isMergeLayer = true; + } + + call(inputs) { + if (this.gpu) { + this._callGPU(inputs); + } else { + const valid = this._validateInputs(inputs); + + if (!valid) { + this.throwError('Invalid inputs to call method.'); + } + + this._callCPU(inputs); + } + + return this.output; + } + + _validateInputs(inputs) { + const shapes = inputs.map(x => x.tensor.shape.slice()); + + if (['sum', 'diff', 'mul', 'ave', 'max', 'min'].indexOf(this.mode) > -1) { + if (!shapes.every(shape => (0, _isEqual2.default)(shape, shapes[0]))) { + this.throwError(`All input shapes must be the same for mode ${this.mode}.`); + } + } + + if (this.mode === 'dot') { + if (inputs.length !== 2) { + this.throwError(`Exactly 2 inputs required for mode ${this.mode}.`); + } + + if (this.dotAxes[0] < 0) { + this.dotAxes[0] = shapes[0].length + this.dotAxes[0]; + } + + if (this.dotAxes[1] < 0) { + this.dotAxes[1] = shapes[1].length + this.dotAxes[1]; + } + + if (shapes[0][this.dotAxes[0]] !== shapes[1][this.dotAxes[1]]) { + this.throwError('Dimensions incompatibility using dot mode.'); + } + } else if (this.mode === 'concat') { + let nonConcatShapes = shapes.slice(); + + let _concatAxis = this.concatAxis < 0 ? nonConcatShapes[0].length + this.concatAxis : this.concatAxis; + + if (this.concatAxis === 0) _concatAxis = 0; + (0, _range2.default)(nonConcatShapes.length).forEach(i => { + nonConcatShapes[i].splice(_concatAxis, 1); + }); + + if (!nonConcatShapes.every(shape => (0, _isEqual2.default)(shape, nonConcatShapes[0]))) { + this.throwError('In concat mode, all shapes must be the same except along the concat axis.'); + } + } + + return true; + } + + _callCPU() {} + + _callGPU(inputs) { + inputs.forEach(input => { + if (!input.glTexture && !input.glTextureFragments) { + input.createGLTexture({ + type: '2d', + format: 'float', + supportsTextureFragments: true + }); + } + }); + + if (!this.output) { + this.output = new _Tensor.default([], inputs[0].glTextureShape); + this.output.createGLTexture({ + type: '2d', + format: 'float', + supportsTextureFragments: true + }); + + if (inputs[0].is1D) { + this.output.is1D = inputs[0].is1D; + } else if (inputs[0].is2DReshaped || inputs[0].is2DSquareReshaped) { + if (inputs[0].is2DReshaped) { + this.output.is2DReshaped = inputs[0].is2DReshaped; + } else if (inputs[0].is2DSquareReshaped) { + this.output.is2DSquareReshaped = inputs[0].is2DSquareReshaped; + } + + this.output.originalShape = inputs[0].originalShape.slice(); + this.output.indicesForReshaped = inputs[0].indicesForReshaped; + } + } + + _WebGL.webgl2.runProgram({ + program: this.mergeProgram, + output: this.output, + inputs: inputs.map((input, i) => ({ + input, + name: `inputs[${i}]` + })), + supportsTextureFragments: true + }); + + if (this.outbound.length === 0) { + this.output.transferFromGLTexture(); + + if (this.output.is2DReshaped) { + this.output.reshapeFrom2D(); + } else if (this.output.is2DSquareReshaped) { + this.output.reshapeFrom2DSquare(); + } + } + } + +} + +exports.default = _Merge; \ No newline at end of file diff --git a/lib/layers/merge/index.js b/lib/layers/merge/index.js new file mode 100644 index 0000000000..92e1fc1927 --- /dev/null +++ b/lib/layers/merge/index.js @@ -0,0 +1,71 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +Object.defineProperty(exports, "Add", { + enumerable: true, + get: function () { + return _Add.default; + } +}); +Object.defineProperty(exports, "Subtract", { + enumerable: true, + get: function () { + return _Subtract.default; + } +}); +Object.defineProperty(exports, "Multiply", { + enumerable: true, + get: function () { + return _Multiply.default; + } +}); +Object.defineProperty(exports, "Average", { + enumerable: true, + get: function () { + return _Average.default; + } +}); +Object.defineProperty(exports, "Maximum", { + enumerable: true, + get: function () { + return _Maximum.default; + } +}); +Object.defineProperty(exports, "Minimum", { + enumerable: true, + get: function () { + return _Minimum.default; + } +}); +Object.defineProperty(exports, "Concatenate", { + enumerable: true, + get: function () { + return _Concatenate.default; + } +}); +Object.defineProperty(exports, "Dot", { + enumerable: true, + get: function () { + return _Dot.default; + } +}); + +var _Add = _interopRequireDefault(require("./Add")); + +var _Subtract = _interopRequireDefault(require("./Subtract")); + +var _Multiply = _interopRequireDefault(require("./Multiply")); + +var _Average = _interopRequireDefault(require("./Average")); + +var _Maximum = _interopRequireDefault(require("./Maximum")); + +var _Minimum = _interopRequireDefault(require("./Minimum")); + +var _Concatenate = _interopRequireDefault(require("./Concatenate")); + +var _Dot = _interopRequireDefault(require("./Dot")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } \ No newline at end of file diff --git a/lib/layers/noise/GaussianDropout.js b/lib/layers/noise/GaussianDropout.js new file mode 100644 index 0000000000..2eeefe7648 --- /dev/null +++ b/lib/layers/noise/GaussianDropout.js @@ -0,0 +1,29 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _Layer = _interopRequireDefault(require("../../Layer")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +class GaussianDropout extends _Layer.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = 'GaussianDropout'; + const { + rate = 0.5 + } = attrs; + this.rate = Math.min(Math.max(0, rate), 1); + } + + call(x) { + this.output = x; + return this.output; + } + +} + +exports.default = GaussianDropout; \ No newline at end of file diff --git a/lib/layers/noise/GaussianNoise.js b/lib/layers/noise/GaussianNoise.js new file mode 100644 index 0000000000..d8a7e7de58 --- /dev/null +++ b/lib/layers/noise/GaussianNoise.js @@ -0,0 +1,29 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _Layer = _interopRequireDefault(require("../../Layer")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +class GaussianNoise extends _Layer.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = 'GaussianNoise'; + const { + stddev = 0 + } = attrs; + this.stddev = stddev; + } + + call(x) { + this.output = x; + return this.output; + } + +} + +exports.default = GaussianNoise; \ No newline at end of file diff --git a/lib/layers/noise/index.js b/lib/layers/noise/index.js new file mode 100644 index 0000000000..74e2a4a66c --- /dev/null +++ b/lib/layers/noise/index.js @@ -0,0 +1,23 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +Object.defineProperty(exports, "GaussianDropout", { + enumerable: true, + get: function () { + return _GaussianDropout.default; + } +}); +Object.defineProperty(exports, "GaussianNoise", { + enumerable: true, + get: function () { + return _GaussianNoise.default; + } +}); + +var _GaussianDropout = _interopRequireDefault(require("./GaussianDropout")); + +var _GaussianNoise = _interopRequireDefault(require("./GaussianNoise")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } \ No newline at end of file diff --git a/lib/layers/normalization/BatchNormalization.js b/lib/layers/normalization/BatchNormalization.js new file mode 100644 index 0000000000..d3d7dffbff --- /dev/null +++ b/lib/layers/normalization/BatchNormalization.js @@ -0,0 +1,272 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _Layer = _interopRequireDefault(require("../../Layer")); + +var _Tensor = _interopRequireDefault(require("../../Tensor")); + +var _WebGL = require("../../WebGL2"); + +var _ndarrayOps = _interopRequireDefault(require("ndarray-ops")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +const programSource = "#version 300 es\r\nprecision highp float;\r\nprecision highp isampler2D;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D X;\r\nuniform isampler2D normAxisIndexMap;\r\nuniform sampler2D gamma;\r\nuniform sampler2D beta;\r\nuniform sampler2D mean;\r\nuniform sampler2D std;\r\nuniform float epsilon;\r\nuniform bool scale;\r\nuniform bool center;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n ivec2 size = textureSize(X, 0);\r\n int out_x = int(float(size[0]) * outTex.x);\r\n int out_y = int(float(size[1]) * outTex.y);\r\n\r\nint normAxisIndex = texelFetch(normAxisIndexMap, ivec2(out_x, out_y), 0).r;\r\n\r\n float _x = texelFetch(X, ivec2(out_x, out_y), 0).r;\r\n float _mean = texelFetch(mean, ivec2(normAxisIndex, 0), 0).r;\r\n float _std = texelFetch(std, ivec2(normAxisIndex, 0), 0).r;\r\n\r\n float _gamma = 1.0;\r\n if (scale) {\r\n _gamma = texelFetch(gamma, ivec2(normAxisIndex, 0), 0).r;\r\n }\r\n\r\n float _beta = 0.0;\r\n if (center) {\r\n _beta = texelFetch(beta, ivec2(normAxisIndex, 0), 0).r;\r\n }\r\n\r\n float sum = _beta + _gamma * (_x - _mean) / sqrt(_std + epsilon);\r\n\r\n outColor = vec4(sum);\r\n}\r\n"; + +class BatchNormalization extends _Layer.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = 'BatchNormalization'; + const { + epsilon = 0.001, + axis = -1, + center = true, + scale = true + } = attrs; + this.epsilon = epsilon; + this.center = center; + this.scale = scale; + this.axis = axis; + this.axisNormalized = false; + this.params = []; + + if (this.scale) { + this.params.push('gamma'); + } + + if (this.center) { + this.params.push('beta'); + } + + this.params = this.params.concat(['moving_mean', 'moving_variance']); + + if (this.gpu) { + this.program = _WebGL.webgl2.compileProgram(programSource); + } + } + + call(x) { + if (this.gpu) { + this._callGPU(x); + } else { + this._callCPU(x); + } + + return this.output; + } + + _callCPU(x) { + if (!this.axisNormalized) { + this.axis = this.axis < 0 ? x.tensor.shape.length + this.axis : this.axis - 1; + this.axisNormalized = true; + } + + let broadcast = []; + + for (let d = 0; d < x.tensor.shape.length; d++) { + if (d === this.axis) broadcast.push(1);else broadcast.push(null); + } + + let _gamma = new _Tensor.default([], x.tensor.shape); + + let _beta = new _Tensor.default([], x.tensor.shape); + + for (let i = 0; i < x.tensor.shape[this.axis]; i++) { + broadcast[this.axis] = i; + + if (this.scale) { + _ndarrayOps.default.assigns(_gamma.tensor.pick(...broadcast), this.weights['gamma'].tensor.get(i)); + } + + if (this.center) { + _ndarrayOps.default.assigns(_beta.tensor.pick(...broadcast), this.weights['beta'].tensor.get(i)); + } + } + + let _mean = new _Tensor.default([], x.tensor.shape); + + let _std = new _Tensor.default([], x.tensor.shape); + + for (let i = 0; i < x.tensor.shape[this.axis]; i++) { + broadcast[this.axis] = i; + + _ndarrayOps.default.assigns(_mean.tensor.pick(...broadcast), this.weights['moving_mean'].tensor.get(i)); + + _ndarrayOps.default.assigns(_std.tensor.pick(...broadcast), this.weights['moving_variance'].tensor.get(i) + this.epsilon); + } + + _ndarrayOps.default.sqrteq(_std.tensor); + + this.output = new _Tensor.default(x.tensor.data, x.tensor.shape); + + _ndarrayOps.default.subeq(this.output.tensor, _mean.tensor); + + _ndarrayOps.default.diveq(this.output.tensor, _std.tensor); + + if (this.scale) { + _ndarrayOps.default.muleq(this.output.tensor, _gamma.tensor); + } + + if (this.center) { + _ndarrayOps.default.addeq(this.output.tensor, _beta.tensor); + } + } + + _createIndexMap(glTextureShape, indicesForReshaped) { + if (this.normAxisIndexMap) { + return; + } + + const _normAxisIndexMap = new _Tensor.default([], this.inputShape, { + type: Int32Array + }); + + this.normAxisIndexMap = new _Tensor.default([], glTextureShape, { + type: Int32Array + }); + const slice = Array(this.inputShape.length).fill(null); + + for (let i = 0; i < this.inputShape[this.axis]; i++) { + slice[this.axis] = i; + + _ndarrayOps.default.assigns(_normAxisIndexMap.tensor.pick(...slice), i); + } + + if (indicesForReshaped) { + for (let i = 0; i < indicesForReshaped.data.length; i++) { + this.normAxisIndexMap.tensor.data[indicesForReshaped.data[i]] = _normAxisIndexMap.tensor.data[i]; + } + } else { + this.normAxisIndexMap = _normAxisIndexMap; + } + + this.normAxisIndexMap.createGLTexture({ + type: '2d', + format: 'int', + supportsTextureFragments: true + }); + } + + _callGPU(x) { + if (!this.axisNormalized) { + if (x.is2DReshaped || x.is2DSquareReshaped) { + this.inputShape = x.originalShape; + } else { + this.inputShape = x.tensor.shape; + } + + this.axis = this.axis < 0 ? this.inputShape.length + this.axis : this.axis - 1; + this.axisNormalized = true; + } + + if (!x.glTexture && !x.glTextureFragments) { + if (x.tensor.shape.length <= 2) { + x.createGLTexture({ + type: '2d', + format: 'float', + supportsTextureFragments: true + }); + } else if (x.tensor.shape.length > 2 && !x.is2DReshaped) { + x.reshapeTo2DSquare(); + x.createGLTexture({ + type: '2d', + format: 'float', + supportsTextureFragments: true + }); + } + } + + this._createIndexMap(x.glTextureShape, x.indicesForReshaped); + + if (!this.output) { + this.output = new _Tensor.default([], x.glTextureShape); + this.output.createGLTexture({ + type: '2d', + format: 'float', + supportsTextureFragments: true + }); + + if (x.is1D) { + this.output.is1D = x.is1D; + } else if (x.is2DReshaped || x.is2DSquareReshaped) { + if (x.is2DReshaped) { + this.output.is2DReshaped = x.is2DReshaped; + } else if (x.is2DSquareReshaped) { + this.output.is2DSquareReshaped = x.is2DSquareReshaped; + } + + this.output.originalShape = x.originalShape; + this.output.indicesForReshaped = x.indicesForReshaped; + } + } + + const programInputs = [{ + input: x, + name: 'X' + }, { + input: this.normAxisIndexMap, + name: 'normAxisIndexMap' + }]; + + if (this.scale) { + programInputs.push({ + input: this.weights['gamma'], + name: 'gamma' + }); + } + + if (this.center) { + programInputs.push({ + input: this.weights['beta'], + name: 'beta' + }); + } + + programInputs.push({ + input: this.weights['moving_mean'], + name: 'mean' + }); + programInputs.push({ + input: this.weights['moving_variance'], + name: 'std' + }); + const programUniforms = [{ + value: this.epsilon, + type: 'float', + name: 'epsilon' + }, { + value: +this.scale, + type: 'bool', + name: 'scale' + }, { + value: +this.center, + type: 'bool', + name: 'center' + }]; + + _WebGL.webgl2.runProgram({ + program: this.program, + output: this.output, + inputs: programInputs, + uniforms: programUniforms, + supportsTextureFragments: true + }); + + if (this.outbound.length === 0) { + this.output.transferFromGLTexture(); + + if (this.output.is2DReshaped) { + this.output.reshapeFrom2D(); + } else if (this.output.is2DSquareReshaped) { + this.output.reshapeFrom2DSquare(); + } + } + } + +} + +exports.default = BatchNormalization; \ No newline at end of file diff --git a/lib/layers/normalization/index.js b/lib/layers/normalization/index.js new file mode 100644 index 0000000000..7985bce8aa --- /dev/null +++ b/lib/layers/normalization/index.js @@ -0,0 +1,15 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +Object.defineProperty(exports, "BatchNormalization", { + enumerable: true, + get: function () { + return _BatchNormalization.default; + } +}); + +var _BatchNormalization = _interopRequireDefault(require("./BatchNormalization")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } \ No newline at end of file diff --git a/lib/layers/pooling/AveragePooling1D.js b/lib/layers/pooling/AveragePooling1D.js new file mode 100644 index 0000000000..0ddbe25d2c --- /dev/null +++ b/lib/layers/pooling/AveragePooling1D.js @@ -0,0 +1,21 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _Pooling1D2 = _interopRequireDefault(require("./_Pooling1D")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +class AveragePooling1D extends _Pooling1D2.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = 'AveragePooling1D'; + this.poolingFunc = 'average'; + } + +} + +exports.default = AveragePooling1D; \ No newline at end of file diff --git a/lib/layers/pooling/AveragePooling2D.js b/lib/layers/pooling/AveragePooling2D.js new file mode 100644 index 0000000000..b22880d9f8 --- /dev/null +++ b/lib/layers/pooling/AveragePooling2D.js @@ -0,0 +1,21 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _Pooling2D2 = _interopRequireDefault(require("./_Pooling2D")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +class AveragePooling2D extends _Pooling2D2.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = 'AveragePooling2D'; + this.poolingFunc = 'average'; + } + +} + +exports.default = AveragePooling2D; \ No newline at end of file diff --git a/lib/layers/pooling/AveragePooling3D.js b/lib/layers/pooling/AveragePooling3D.js new file mode 100644 index 0000000000..a54a3e2d0b --- /dev/null +++ b/lib/layers/pooling/AveragePooling3D.js @@ -0,0 +1,21 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _Pooling3D2 = _interopRequireDefault(require("./_Pooling3D")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +class AveragePooling3D extends _Pooling3D2.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = 'AveragePooling3D'; + this.poolingFunc = 'average'; + } + +} + +exports.default = AveragePooling3D; \ No newline at end of file diff --git a/lib/layers/pooling/GlobalAveragePooling1D.js b/lib/layers/pooling/GlobalAveragePooling1D.js new file mode 100644 index 0000000000..741125c09c --- /dev/null +++ b/lib/layers/pooling/GlobalAveragePooling1D.js @@ -0,0 +1,21 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _GlobalPooling1D2 = _interopRequireDefault(require("./_GlobalPooling1D")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +class GlobalAveragePooling1D extends _GlobalPooling1D2.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = 'GlobalAveragePooling1D'; + this.poolingFunc = 'average'; + } + +} + +exports.default = GlobalAveragePooling1D; \ No newline at end of file diff --git a/lib/layers/pooling/GlobalAveragePooling2D.js b/lib/layers/pooling/GlobalAveragePooling2D.js new file mode 100644 index 0000000000..195f3a3787 --- /dev/null +++ b/lib/layers/pooling/GlobalAveragePooling2D.js @@ -0,0 +1,21 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _GlobalPooling2D2 = _interopRequireDefault(require("./_GlobalPooling2D")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +class GlobalAveragePooling2D extends _GlobalPooling2D2.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = 'GlobalAveragePooling2D'; + this.poolingFunc = 'average'; + } + +} + +exports.default = GlobalAveragePooling2D; \ No newline at end of file diff --git a/lib/layers/pooling/GlobalAveragePooling3D.js b/lib/layers/pooling/GlobalAveragePooling3D.js new file mode 100644 index 0000000000..9c9c95e6a6 --- /dev/null +++ b/lib/layers/pooling/GlobalAveragePooling3D.js @@ -0,0 +1,21 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _GlobalPooling3D2 = _interopRequireDefault(require("./_GlobalPooling3D")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +class GlobalAveragePooling3D extends _GlobalPooling3D2.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = 'GlobalAveragePooling3D'; + this.poolingFunc = 'average'; + } + +} + +exports.default = GlobalAveragePooling3D; \ No newline at end of file diff --git a/lib/layers/pooling/GlobalMaxPooling1D.js b/lib/layers/pooling/GlobalMaxPooling1D.js new file mode 100644 index 0000000000..bbc6871b6b --- /dev/null +++ b/lib/layers/pooling/GlobalMaxPooling1D.js @@ -0,0 +1,21 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _GlobalPooling1D2 = _interopRequireDefault(require("./_GlobalPooling1D")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +class GlobalMaxPooling1D extends _GlobalPooling1D2.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = 'GlobalMaxPooling1D'; + this.poolingFunc = 'max'; + } + +} + +exports.default = GlobalMaxPooling1D; \ No newline at end of file diff --git a/lib/layers/pooling/GlobalMaxPooling2D.js b/lib/layers/pooling/GlobalMaxPooling2D.js new file mode 100644 index 0000000000..532eed4613 --- /dev/null +++ b/lib/layers/pooling/GlobalMaxPooling2D.js @@ -0,0 +1,21 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _GlobalPooling2D2 = _interopRequireDefault(require("./_GlobalPooling2D")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +class GlobalMaxPooling2D extends _GlobalPooling2D2.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = 'GlobalMaxPooling2D'; + this.poolingFunc = 'max'; + } + +} + +exports.default = GlobalMaxPooling2D; \ No newline at end of file diff --git a/lib/layers/pooling/GlobalMaxPooling3D.js b/lib/layers/pooling/GlobalMaxPooling3D.js new file mode 100644 index 0000000000..cd7de61e57 --- /dev/null +++ b/lib/layers/pooling/GlobalMaxPooling3D.js @@ -0,0 +1,21 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _GlobalPooling3D2 = _interopRequireDefault(require("./_GlobalPooling3D")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +class GlobalMaxPooling3D extends _GlobalPooling3D2.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = 'GlobalMaxPooling3D'; + this.poolingFunc = 'max'; + } + +} + +exports.default = GlobalMaxPooling3D; \ No newline at end of file diff --git a/lib/layers/pooling/MaxPooling1D.js b/lib/layers/pooling/MaxPooling1D.js new file mode 100644 index 0000000000..01b7d1c47a --- /dev/null +++ b/lib/layers/pooling/MaxPooling1D.js @@ -0,0 +1,21 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _Pooling1D2 = _interopRequireDefault(require("./_Pooling1D")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +class MaxPooling1D extends _Pooling1D2.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = 'MaxPooling1D'; + this.poolingFunc = 'max'; + } + +} + +exports.default = MaxPooling1D; \ No newline at end of file diff --git a/lib/layers/pooling/MaxPooling2D.js b/lib/layers/pooling/MaxPooling2D.js new file mode 100644 index 0000000000..814efd789d --- /dev/null +++ b/lib/layers/pooling/MaxPooling2D.js @@ -0,0 +1,21 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _Pooling2D2 = _interopRequireDefault(require("./_Pooling2D")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +class MaxPooling2D extends _Pooling2D2.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = 'MaxPooling2D'; + this.poolingFunc = 'max'; + } + +} + +exports.default = MaxPooling2D; \ No newline at end of file diff --git a/lib/layers/pooling/MaxPooling3D.js b/lib/layers/pooling/MaxPooling3D.js new file mode 100644 index 0000000000..0815b92973 --- /dev/null +++ b/lib/layers/pooling/MaxPooling3D.js @@ -0,0 +1,21 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _Pooling3D2 = _interopRequireDefault(require("./_Pooling3D")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +class MaxPooling3D extends _Pooling3D2.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = 'MaxPooling3D'; + this.poolingFunc = 'max'; + } + +} + +exports.default = MaxPooling3D; \ No newline at end of file diff --git a/lib/layers/pooling/_GlobalPooling1D.js b/lib/layers/pooling/_GlobalPooling1D.js new file mode 100644 index 0000000000..43020e2b16 --- /dev/null +++ b/lib/layers/pooling/_GlobalPooling1D.js @@ -0,0 +1,103 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _Layer = _interopRequireDefault(require("../../Layer")); + +var _Tensor = _interopRequireDefault(require("../../Tensor")); + +var _WebGL = require("../../WebGL2"); + +var _ndarrayOps = _interopRequireDefault(require("ndarray-ops")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +const poolingProgramSource = "#version 300 es\r\nprecision highp float;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D x;\r\nuniform int channelDataSize;\r\nuniform bool isMaxPooling;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n ivec2 size = textureSize(x, 0);\r\n int out_x = int(float(size[0]) * outTex.x);\r\n int out_y = int(float(size[1]) * outTex.y);\r\n\r\n if (isMaxPooling) {\r\n // GlobalMaxPooling\r\n float maxval = 0.0;\r\n for (int j = 0; j < size[1]; ++j) {\r\n float val = texelFetch(x, ivec2(out_x, j), 0).r;\r\n if (j == 0 || val > maxval) {\r\n maxval = val;\r\n }\r\n }\r\n outColor = vec4(maxval);\r\n } else {\r\n // GlobalAveragePooling\r\n float sum = 0.0;\r\n for (int j = 0; j < size[1]; ++j) {\r\n float val = texelFetch(x, ivec2(out_x, j), 0).r;\r\n sum += val;\r\n }\r\n outColor = vec4(sum / float(channelDataSize));\r\n }\r\n}\r\n"; + +class _GlobalPooling1D extends _Layer.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = '_GlobalPooling1D'; + const { + data_format = 'channels_last' + } = attrs; + this.dataFormat = data_format; + this.poolingFunc = 'max'; + + if (this.gpu) { + this.poolingProgram = _WebGL.webgl2.compileProgram(poolingProgramSource); + } + } + + call(x) { + if (this.gpu) { + this._callGPU(x); + } else { + this._callCPU(x); + } + + return this.output; + } + + _callCPU(x) { + const [steps, features] = x.tensor.shape; + this.output = new _Tensor.default([], [features]); + + for (let i = 0, len = features; i < len; i++) { + if (this.poolingFunc === 'max') { + this.output.tensor.set(i, _ndarrayOps.default.sup(x.tensor.pick(null, i))); + } else if (this.poolingFunc === 'average') { + this.output.tensor.set(i, _ndarrayOps.default.sum(x.tensor.pick(null, i)) / steps); + } + } + } + + _callGPU(x) { + if (!x.glTexture) { + x.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + this.inputShape = x.tensor.shape; + + if (!this.output) { + this.output = new _Tensor.default([], [this.inputShape[1]]); + this.output.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + const isMaxPooling = this.poolingFunc === 'max'; + + _WebGL.webgl2.runProgram({ + program: this.poolingProgram, + output: this.output, + inputs: [{ + input: x, + name: 'x' + }], + uniforms: [{ + value: this.inputShape[0], + type: 'int', + name: 'channelDataSize' + }, { + value: +isMaxPooling, + type: 'bool', + name: 'isMaxPooling' + }] + }); + + if (this.outbound.length === 0) { + this.output.transferFromGLTexture(); + } + } + +} + +exports.default = _GlobalPooling1D; \ No newline at end of file diff --git a/lib/layers/pooling/_GlobalPooling2D.js b/lib/layers/pooling/_GlobalPooling2D.js new file mode 100644 index 0000000000..db587281c3 --- /dev/null +++ b/lib/layers/pooling/_GlobalPooling2D.js @@ -0,0 +1,113 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _Layer = _interopRequireDefault(require("../../Layer")); + +var _Tensor = _interopRequireDefault(require("../../Tensor")); + +var _WebGL = require("../../WebGL2"); + +var _ndarrayOps = _interopRequireDefault(require("ndarray-ops")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +const poolingProgramSource = "#version 300 es\r\nprecision highp float;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D x;\r\nuniform int channelDataSize;\r\nuniform bool isMaxPooling;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n ivec2 size = textureSize(x, 0);\r\n int out_x = int(float(size[0]) * outTex.x);\r\n int out_y = int(float(size[1]) * outTex.y);\r\n\r\n if (isMaxPooling) {\r\n // GlobalMaxPooling\r\n float maxval = 0.0;\r\n for (int j = 0; j < size[1]; ++j) {\r\n float val = texelFetch(x, ivec2(out_x, j), 0).r;\r\n if (j == 0 || val > maxval) {\r\n maxval = val;\r\n }\r\n }\r\n outColor = vec4(maxval);\r\n } else {\r\n // GlobalAveragePooling\r\n float sum = 0.0;\r\n for (int j = 0; j < size[1]; ++j) {\r\n float val = texelFetch(x, ivec2(out_x, j), 0).r;\r\n sum += val;\r\n }\r\n outColor = vec4(sum / float(channelDataSize));\r\n }\r\n}\r\n"; + +class _GlobalPooling2D extends _Layer.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = '_GlobalPooling2D'; + const { + data_format = 'channels_last' + } = attrs; + this.dataFormat = data_format; + this.poolingFunc = 'max'; + + if (this.gpu) { + this.poolingProgram = _WebGL.webgl2.compileProgram(poolingProgramSource); + } + } + + call(x) { + if (this.gpu) { + this._callGPU(x); + } else { + this._callCPU(x); + } + + return this.output; + } + + _callCPU(x) { + if (this.dataFormat === 'channels_first') { + x.tensor = x.tensor.transpose(1, 2, 0); + } + + const [rows, cols, channels] = x.tensor.shape; + this.output = new _Tensor.default([], [channels]); + + for (let i = 0, len = channels; i < len; i++) { + if (this.poolingFunc === 'max') { + this.output.tensor.set(i, _ndarrayOps.default.sup(x.tensor.pick(null, null, i))); + } else if (this.poolingFunc === 'average') { + this.output.tensor.set(i, _ndarrayOps.default.sum(x.tensor.pick(null, null, i)) / (rows * cols)); + } + } + } + + _callGPU(x) { + if (x.is2DReshaped || x.is2DSquareReshaped) { + this.inputShape = x.originalShape; + } else { + if (this.dataFormat === 'channels_first') { + x.tensor = x.tensor.transpose(1, 2, 0); + } + + this.inputShape = x.tensor.shape; + x.reshapeTo2D(); + x.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + if (!this.output) { + this.output = new _Tensor.default([], [this.inputShape[2]]); + this.output.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + const isMaxPooling = this.poolingFunc === 'max'; + + _WebGL.webgl2.runProgram({ + program: this.poolingProgram, + output: this.output, + inputs: [{ + input: x, + name: 'x' + }], + uniforms: [{ + value: this.inputShape[0] * this.inputShape[1], + type: 'int', + name: 'channelDataSize' + }, { + value: +isMaxPooling, + type: 'bool', + name: 'isMaxPooling' + }] + }); + + if (this.outbound.length === 0) { + this.output.transferFromGLTexture(); + } + } + +} + +exports.default = _GlobalPooling2D; \ No newline at end of file diff --git a/lib/layers/pooling/_GlobalPooling3D.js b/lib/layers/pooling/_GlobalPooling3D.js new file mode 100644 index 0000000000..7aaa74e696 --- /dev/null +++ b/lib/layers/pooling/_GlobalPooling3D.js @@ -0,0 +1,113 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _Layer = _interopRequireDefault(require("../../Layer")); + +var _Tensor = _interopRequireDefault(require("../../Tensor")); + +var _WebGL = require("../../WebGL2"); + +var _ndarrayOps = _interopRequireDefault(require("ndarray-ops")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +const poolingProgramSource = "#version 300 es\r\nprecision highp float;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D x;\r\nuniform int channelDataSize;\r\nuniform bool isMaxPooling;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n ivec2 size = textureSize(x, 0);\r\n int out_x = int(float(size[0]) * outTex.x);\r\n int out_y = int(float(size[1]) * outTex.y);\r\n\r\n if (isMaxPooling) {\r\n // GlobalMaxPooling\r\n float maxval = 0.0;\r\n for (int j = 0; j < size[1]; ++j) {\r\n float val = texelFetch(x, ivec2(out_x, j), 0).r;\r\n if (j == 0 || val > maxval) {\r\n maxval = val;\r\n }\r\n }\r\n outColor = vec4(maxval);\r\n } else {\r\n // GlobalAveragePooling\r\n float sum = 0.0;\r\n for (int j = 0; j < size[1]; ++j) {\r\n float val = texelFetch(x, ivec2(out_x, j), 0).r;\r\n sum += val;\r\n }\r\n outColor = vec4(sum / float(channelDataSize));\r\n }\r\n}\r\n"; + +class _GlobalPooling3D extends _Layer.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = '_GlobalPooling3D'; + const { + data_format = 'channels_last' + } = attrs; + this.dataFormat = data_format; + this.poolingFunc = 'max'; + + if (this.gpu) { + this.poolingProgram = _WebGL.webgl2.compileProgram(poolingProgramSource); + } + } + + call(x) { + if (this.gpu) { + this._callGPU(x); + } else { + this._callCPU(x); + } + + return this.output; + } + + _callCPU(x) { + if (this.dataFormat === 'channels_first') { + x.tensor = x.tensor.transpose(1, 2, 3, 0); + } + + const [dim1, dim2, dim3, channels] = x.tensor.shape; + this.output = new _Tensor.default([], [channels]); + + for (let i = 0, len = channels; i < len; i++) { + if (this.poolingFunc === 'max') { + this.output.tensor.set(i, _ndarrayOps.default.sup(x.tensor.pick(null, null, null, i))); + } else if (this.poolingFunc === 'average') { + this.output.tensor.set(i, _ndarrayOps.default.sum(x.tensor.pick(null, null, null, i)) / (dim1 * dim2 * dim3)); + } + } + } + + _callGPU(x) { + if (x.is2DReshaped || x.is2DSquareReshaped) { + this.inputShape = x.originalShape; + } else { + if (this.dataFormat === 'channels_first') { + x.tensor = x.tensor.transpose(1, 2, 3, 0); + } + + this.inputShape = x.tensor.shape; + x.reshapeTo2D(); + x.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + if (!this.output) { + this.output = new _Tensor.default([], [this.inputShape[3]]); + this.output.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + const isMaxPooling = this.poolingFunc === 'max'; + + _WebGL.webgl2.runProgram({ + program: this.poolingProgram, + output: this.output, + inputs: [{ + input: x, + name: 'x' + }], + uniforms: [{ + value: this.inputShape[0] * this.inputShape[1] * this.inputShape[2], + type: 'int', + name: 'channelDataSize' + }, { + value: +isMaxPooling, + type: 'bool', + name: 'isMaxPooling' + }] + }); + + if (this.outbound.length === 0) { + this.output.transferFromGLTexture(); + } + } + +} + +exports.default = _GlobalPooling3D; \ No newline at end of file diff --git a/lib/layers/pooling/_Pooling1D.js b/lib/layers/pooling/_Pooling1D.js new file mode 100644 index 0000000000..59fa7bfadd --- /dev/null +++ b/lib/layers/pooling/_Pooling1D.js @@ -0,0 +1,210 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _Layer = _interopRequireDefault(require("../../Layer")); + +var _Tensor = _interopRequireDefault(require("../../Tensor")); + +var _WebGL = require("../../WebGL2"); + +var _ndarrayOps = _interopRequireDefault(require("ndarray-ops")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +const poolingProgramSource = "#version 300 es\r\nprecision highp float;\r\nprecision highp isampler2D;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D x;\r\nuniform isampler2D poolIndexMap;\r\nuniform int channels;\r\nuniform int poolSize;\r\nuniform bool isMaxPooling;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n int out_x = int(float(channels) * outTex.x);\r\n int out_y = int(float(textureSize(poolIndexMap, 0)[1]) * outTex.y);\r\n\r\n float val = 0.;\r\n int count = 0;\r\n for (int i = 0; i < poolSize; ++i) {\r\n int poolIndex = texelFetch(poolIndexMap, ivec2(i, out_y), 0).r;\r\n if (poolIndex != -1) {\r\n float val2 = texelFetch(x, ivec2(out_x, poolIndex), 0).r;\r\n if (isMaxPooling) {\r\n if (count == 0 || val2 > val) {\r\n val = val2;\r\n }\r\n } else {\r\n val += val2;\r\n }\r\n count += 1;\r\n }\r\n }\r\n\r\n if (!isMaxPooling) {\r\n val /= float(count);\r\n }\r\n\r\n outColor = vec4(val);\r\n}\r\n"; +const poolingFragmentsProgramSource = "#version 300 es\r\nprecision highp float;\r\nprecision highp isampler2D;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D x;\r\nuniform isampler2D poolIndexMap;\r\nuniform int channels;\r\nuniform int poolSize;\r\nuniform bool isMaxPooling;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n ivec2 inputSize = textureSize(x, 0);\r\n ivec2 outputSize = textureSize(poolIndexMap, 0);\r\n int out_x = int(float(channels) * outTex.x);\r\n int out_y = int(float(outputSize[1]) * outTex.y);\r\n\r\n float val = 0.;\r\n int count = 0;\r\n for (int i = 0; i < poolSize; ++i) {\r\n int poolIndex = texelFetch(poolIndexMap, ivec2(i, out_y), 0).r;\r\n int fragmentIndex = int(floor(float(poolIndex) / float(inputSize[1])));\r\n if (poolIndex != -1) {\r\n poolIndex = int(mod(float(poolIndex), float(inputSize[1])));\r\n float val2 = texelFetch(x, ivec2(fragmentIndex * channels + out_x, poolIndex), 0).r;\r\n if (isMaxPooling) {\r\n if (count == 0 || val2 > val) {\r\n val = val2;\r\n }\r\n } else {\r\n val += val2;\r\n }\r\n count += 1;\r\n }\r\n }\r\n\r\n if (!isMaxPooling) {\r\n val /= float(count);\r\n }\r\n\r\n outColor = vec4(val);\r\n}\r\n"; + +class _Pooling1D extends _Layer.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = '_Pooling1D'; + const { + pool_size = 2, + strides = null, + padding = 'valid' + } = attrs; + this.poolSize = pool_size; + this.strides = strides === null ? this.poolSize : strides; + this.padding = padding; + this.poolingFunc = 'max'; + + if (this.gpu) { + this.poolingProgram = _WebGL.webgl2.compileProgram(poolingProgramSource); + this.poolingFragmentsProgram = _WebGL.webgl2.compileProgram(poolingFragmentsProgramSource); + } + } + + call(x) { + if (this.gpu) { + this._callGPU(x); + } else { + this._callCPU(x); + } + + return this.output; + } + + _callCPU(x) { + const stepsNew = this.padding === 'valid' ? Math.floor((x.tensor.shape[0] - this.poolSize + this.strides) / this.strides) : Math.floor((x.tensor.shape[0] + this.strides - 1) / this.strides); + this.output = new _Tensor.default([], [stepsNew, x.tensor.shape[1]]); + const outputStep = new _Tensor.default([], [x.tensor.shape[1]]); + let step = this.padding === 'valid' ? 0 : Math.min(0, Math.ceil((x.tensor.shape[0] - (stepsNew - 1) * this.strides - this.poolSize) / 2)); + + for (let i = 0; i < stepsNew; i++) { + let _step = Math.max(0, step); + + let limit = this.poolSize + Math.min(0, step); + + _ndarrayOps.default.assign(outputStep.tensor, x.tensor.pick(_step, null)); + + let count = 1; + + for (let j = 1; j < limit; j++) { + if (_step + j > x.tensor.shape[0] - 1) { + break; + } + + if (this.poolingFunc === 'max') { + _ndarrayOps.default.maxeq(outputStep.tensor, x.tensor.pick(_step + j, null)); + } else if (this.poolingFunc === 'average') { + _ndarrayOps.default.addeq(outputStep.tensor, x.tensor.pick(_step + j, null)); + } + + count += 1; + } + + if (this.poolingFunc === 'average') { + _ndarrayOps.default.divseq(outputStep.tensor, count); + } + + _ndarrayOps.default.assign(this.output.tensor.pick(i, null), outputStep.tensor); + + step += this.strides; + } + } + + _createIndexMap() { + if (this.poolIndexMap) { + return; + } + + const stepsNew = this.padding === 'valid' ? Math.floor((this.inputShape[0] - this.poolSize + this.strides) / this.strides) : Math.floor((this.inputShape[0] + this.strides - 1) / this.strides); + this.outputShape = [stepsNew, this.inputShape[1]]; + this.poolIndexMap = new _Tensor.default([], [stepsNew, this.poolSize], { + type: Int32Array + }); + + _ndarrayOps.default.assigns(this.poolIndexMap.tensor, -1); + + let step = this.padding === 'valid' ? 0 : Math.min(0, Math.ceil((this.inputShape[0] - (stepsNew - 1) * this.strides - this.poolSize) / 2)); + + for (let i = 0; i < stepsNew; i++) { + let _step = Math.max(0, step); + + let limit = this.poolSize + Math.min(0, step); + let inputIndex = _step; + this.poolIndexMap.tensor.set(i, 0, inputIndex); + + for (let j = 1; j < limit; j++) { + inputIndex = _step + j; + + if (inputIndex <= this.inputShape[0] - 1) { + this.poolIndexMap.tensor.set(i, j, inputIndex); + } else { + break; + } + } + + step += this.strides; + } + + this.poolIndexMap.createGLTexture({ + type: '2d', + format: 'int', + supportsTextureFragments: true + }); + } + + _callGPU(x) { + if (!x.glTexture && !x.glTextureFragments) { + x.createGLTexture({ + type: '2d', + format: 'float', + supportsTextureFragments: true + }); + } + + this.inputShape = x.tensor.shape; + + this._createIndexMap(); + + if (!this.output) { + this.output = new _Tensor.default([], this.outputShape); + this.output.createGLTexture({ + type: '2d', + format: 'float', + supportsTextureFragments: true + }); + } + + const isMaxPooling = this.poolingFunc === 'max'; + const programUniforms = [{ + value: this.output.glTextureShape[1], + type: 'int', + name: 'channels' + }, { + value: this.poolSize, + type: 'int', + name: 'poolSize' + }, { + value: +isMaxPooling, + type: 'bool', + name: 'isMaxPooling' + }]; + + if (x.glTextureFragments) { + x.convert2DRowFragmentedGLTextureToColStack(); + + _WebGL.webgl2.runProgram({ + program: this.poolingFragmentsProgram, + output: this.output, + inputs: [{ + input: x, + name: 'x' + }, { + input: this.poolIndexMap, + name: 'poolIndexMap' + }], + uniforms: programUniforms, + supportsTextureFragments: true + }); + + x.removeGLTextureFragmentsAsColStack(); + } else { + _WebGL.webgl2.runProgram({ + program: this.poolingProgram, + output: this.output, + inputs: [{ + input: x, + name: 'x' + }, { + input: this.poolIndexMap, + name: 'poolIndexMap' + }], + uniforms: programUniforms, + supportsTextureFragments: true + }); + } + + if (this.outbound.length === 0) { + this.output.transferFromGLTexture(); + } + } + +} + +exports.default = _Pooling1D; \ No newline at end of file diff --git a/lib/layers/pooling/_Pooling2D.js b/lib/layers/pooling/_Pooling2D.js new file mode 100644 index 0000000000..4e3641f00e --- /dev/null +++ b/lib/layers/pooling/_Pooling2D.js @@ -0,0 +1,338 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _Layer = _interopRequireDefault(require("../../Layer")); + +var _Tensor = _interopRequireDefault(require("../../Tensor")); + +var _WebGL = require("../../WebGL2"); + +var tensorUtils = _interopRequireWildcard(require("../../utils/tensorUtils")); + +var _ndarrayOps = _interopRequireDefault(require("ndarray-ops")); + +function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } } + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +const poolingProgramSource = "#version 300 es\r\nprecision highp float;\r\nprecision highp isampler2D;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D x;\r\nuniform isampler2D poolIndexMap;\r\nuniform int channels;\r\nuniform int poolSize;\r\nuniform bool isMaxPooling;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n int out_x = int(float(channels) * outTex.x);\r\n int out_y = int(float(textureSize(poolIndexMap, 0)[1]) * outTex.y);\r\n\r\n float val = 0.;\r\n int count = 0;\r\n for (int i = 0; i < poolSize; ++i) {\r\n int poolIndex = texelFetch(poolIndexMap, ivec2(i, out_y), 0).r;\r\n if (poolIndex != -1) {\r\n float val2 = texelFetch(x, ivec2(out_x, poolIndex), 0).r;\r\n if (isMaxPooling) {\r\n if (count == 0 || val2 > val) {\r\n val = val2;\r\n }\r\n } else {\r\n val += val2;\r\n }\r\n count += 1;\r\n }\r\n }\r\n\r\n if (!isMaxPooling) {\r\n val /= float(count);\r\n }\r\n\r\n outColor = vec4(val);\r\n}\r\n"; +const poolingFragmentsProgramSource = "#version 300 es\r\nprecision highp float;\r\nprecision highp isampler2D;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D x;\r\nuniform isampler2D poolIndexMap;\r\nuniform int channels;\r\nuniform int poolSize;\r\nuniform bool isMaxPooling;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n ivec2 inputSize = textureSize(x, 0);\r\n ivec2 outputSize = textureSize(poolIndexMap, 0);\r\n int out_x = int(float(channels) * outTex.x);\r\n int out_y = int(float(outputSize[1]) * outTex.y);\r\n\r\n float val = 0.;\r\n int count = 0;\r\n for (int i = 0; i < poolSize; ++i) {\r\n int poolIndex = texelFetch(poolIndexMap, ivec2(i, out_y), 0).r;\r\n int fragmentIndex = int(floor(float(poolIndex) / float(inputSize[1])));\r\n if (poolIndex != -1) {\r\n poolIndex = int(mod(float(poolIndex), float(inputSize[1])));\r\n float val2 = texelFetch(x, ivec2(fragmentIndex * channels + out_x, poolIndex), 0).r;\r\n if (isMaxPooling) {\r\n if (count == 0 || val2 > val) {\r\n val = val2;\r\n }\r\n } else {\r\n val += val2;\r\n }\r\n count += 1;\r\n }\r\n }\r\n\r\n if (!isMaxPooling) {\r\n val /= float(count);\r\n }\r\n\r\n outColor = vec4(val);\r\n}\r\n"; + +class _Pooling2D extends _Layer.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = '_Pooling2D'; + const { + pool_size = [2, 2], + strides = null, + padding = 'valid', + data_format = 'channels_last' + } = attrs; + + if (Array.isArray(pool_size)) { + this.poolSize = pool_size; + } else { + this.poolSize = [pool_size, pool_size]; + } + + if (Array.isArray(strides)) { + this.strides = strides; + } else if (strides !== null) { + this.strides = [strides, strides]; + } else { + this.strides = this.poolSize; + } + + this.padding = padding; + this.dataFormat = data_format; + this.poolingFunc = 'max'; + + if (this.gpu) { + this.poolingProgram = _WebGL.webgl2.compileProgram(poolingProgramSource); + this.poolingFragmentsProgram = _WebGL.webgl2.compileProgram(poolingFragmentsProgramSource); + } + } + + call(x) { + if (this.gpu) { + this._callGPU(x); + } else { + this._callCPU(x); + } + + return this.output; + } + + _calcOutputShape(inputShape) { + if (this.outputShape && this.inputPadding) { + return; + } + + const [inputRows, inputCols, inputChannels] = inputShape; + const [nbRow, nbCol] = this.poolSize; + const outputRows = this.padding === 'same' ? Math.floor((inputRows + this.strides[0] - 1) / this.strides[0]) : Math.floor((inputRows - nbRow + this.strides[0]) / this.strides[0]); + const outputCols = this.padding === 'same' ? Math.floor((inputCols + this.strides[1] - 1) / this.strides[1]) : Math.floor((inputCols - nbCol + this.strides[1]) / this.strides[1]); + const paddingRow = this.padding === 'same' ? Math.max(0, Math.floor((outputRows - 1) * this.strides[0] + nbRow - inputRows)) : 0; + const paddingCol = this.padding === 'same' ? Math.max(0, Math.floor((outputCols - 1) * this.strides[1] + nbCol - inputCols)) : 0; + const paddingRowBefore = Math.floor(paddingRow / 2); + const paddingRowAfter = paddingRow - paddingRowBefore; + const paddingColBefore = Math.floor(paddingCol / 2); + const paddingColAfter = paddingCol - paddingColBefore; + this.outputShape = [outputRows, outputCols, inputChannels]; + this.inputPadding = [paddingRowBefore, paddingRowAfter, paddingColBefore, paddingColAfter]; + } + + _padInput(x) { + if (this.padding === 'same') { + const [inputRows, inputCols, inputChannels] = x.tensor.shape; + const [paddingRowBefore, paddingRowAfter, paddingColBefore, paddingColAfter] = this.inputPadding; + const newRows = inputRows + paddingRowBefore + paddingRowAfter; + const newCols = inputCols + paddingColBefore + paddingColAfter; + + const _x = new _Tensor.default([], [newRows, newCols, inputChannels]); + + if (this.poolingFunc === 'max') { + _ndarrayOps.default.assigns(_x.tensor, Number.NEGATIVE_INFINITY); + } + + _ndarrayOps.default.assign(_x.tensor.hi(inputRows + paddingRowBefore, inputCols + paddingColBefore, inputChannels).lo(paddingRowBefore, paddingColBefore, 0), x.tensor); + + return _x; + } + + return x; + } + + _callCPU(x) { + if (this.dataFormat === 'channels_first') { + x.tensor = x.tensor.transpose(1, 2, 0); + } + + this._calcOutputShape(x.tensor.shape); + + x = this._padInput(x); + const [inputRows, inputCols, inputChannels] = x.tensor.shape; + const [nbRow, nbCol] = this.poolSize; + this.output = new _Tensor.default([], this.outputShape); + const patch = new _Tensor.default([], [nbRow, nbCol, inputChannels]); + const [paddingRowBefore, paddingRowAfter, paddingColBefore, paddingColAfter] = this.inputPadding; + + for (let i = 0, _i = 0; i <= inputRows - nbRow; i += this.strides[0], _i++) { + let nbRowInPadding = 0; + + if (i < paddingRowBefore) { + nbRowInPadding = paddingRowBefore - i; + } else if (i + nbRow > inputRows - paddingRowAfter) { + nbRowInPadding = i + nbRow - (inputRows - paddingRowAfter); + } + + for (let j = 0, _j = 0; j <= inputCols - nbCol; j += this.strides[1], _j++) { + let nbColInPadding = 0; + + if (j < paddingColBefore) { + nbColInPadding = paddingColBefore - j; + } else if (j + nbCol > inputCols - paddingColAfter) { + nbColInPadding = j + nbCol - (inputCols - paddingColAfter); + } + + const nbCellsEffective = (nbRow - nbRowInPadding) * (nbCol - nbColInPadding); + + _ndarrayOps.default.assign(patch.tensor, x.tensor.hi(i + nbRow, j + nbCol, inputChannels).lo(i, j, 0)); + + for (let c = 0; c < inputChannels; c++) { + if (this.poolingFunc === 'max') { + this.output.tensor.set(_i, _j, c, _ndarrayOps.default.sup(patch.tensor.pick(null, null, c))); + } else if (this.poolingFunc === 'average') { + this.output.tensor.set(_i, _j, c, _ndarrayOps.default.sum(patch.tensor.pick(null, null, c)) / nbCellsEffective); + } + } + } + } + + if (this.dataFormat === 'channels_first') { + this.output.tensor = this.output.tensor.transpose(2, 0, 1); + } + } + + _im2col(x) { + const [inputRows, inputCols, inputChannels] = x.tensor.shape; + + if (!this.tiledInput) { + this.tiledInput = new _Tensor.default([], [inputRows * inputCols, inputChannels]); + } + + const patch = new _Tensor.default([], [inputRows, inputCols]); + const patchRaveled = new _Tensor.default([], [inputRows * inputCols]); + + for (let c = 0; c < inputChannels; c++) { + _ndarrayOps.default.assign(patch.tensor, x.tensor.pick(null, null, c)); + + patchRaveled.replaceTensorData(patch.tensor.data); + + _ndarrayOps.default.assign(this.tiledInput.tensor.pick(null, c), patchRaveled.tensor); + } + + return this.tiledInput; + } + + _createIndexMap() { + if (this.poolIndexMap) { + return; + } + + let inputRows = this.inputShape[0]; + let inputCols = this.inputShape[1]; + const rowIndices = new _Tensor.default([], [inputRows, inputCols]); + let index = 0; + + for (let i = 0; i < inputRows; i++) { + for (let j = 0; j < inputCols; j++) { + rowIndices.tensor.set(i, j, index); + index += 1; + } + } + + if (this.padding === 'same') { + const [paddingRowBefore, paddingRowAfter, paddingColBefore, paddingColAfter] = this.inputPadding; + inputRows = inputRows + paddingRowBefore + paddingRowAfter; + inputCols = inputCols + paddingColBefore + paddingColAfter; + + const _rowIndices = new _Tensor.default([], [inputRows, inputCols]); + + _ndarrayOps.default.assigns(_rowIndices.tensor, -1); + + _ndarrayOps.default.assign(_rowIndices.tensor.hi(this.inputShape[0] + paddingRowBefore, this.inputShape[1] + paddingColBefore).lo(paddingRowBefore, paddingColBefore), rowIndices.tensor); + + rowIndices.tensor = _rowIndices.tensor; + } + + const [nbRow, nbCol] = this.poolSize; + const outputRows = this.outputShape[0]; + const outputCols = this.outputShape[1]; + this.poolIndexMap = new _Tensor.default([], [outputRows * outputCols, nbRow * nbCol], { + type: Int32Array + }); + const patchRow = new _Tensor.default([], [nbRow, nbCol]); + let offset = 0; + + for (let i = 0, limit = inputRows - nbRow; i <= limit; i += this.strides[0]) { + for (let j = 0, limit = inputCols - nbCol; j <= limit; j += this.strides[1]) { + _ndarrayOps.default.assign(patchRow.tensor, rowIndices.tensor.hi(i + nbRow, j + nbCol).lo(i, j)); + + this.poolIndexMap.tensor.data.set(patchRow.tensor.data, offset); + offset += nbRow * nbCol; + } + } + + this.poolIndexMap.createGLTexture({ + type: '2d', + format: 'int', + supportsTextureFragments: true + }); + } + + _callGPU(x) { + if (x.is2DReshaped || x.is2DSquareReshaped) { + this.inputShape = x.originalShape; + } else { + if (this.dataFormat === 'channels_first') { + x.tensor = x.tensor.transpose(1, 2, 0); + } + + this.inputShape = x.tensor.shape; + + this._im2col(x); + + this.tiledInput.createGLTexture({ + type: '2d', + format: 'float', + supportsTextureFragments: true + }); + } + + this._calcOutputShape(this.inputShape); + + this._createIndexMap(); + + if (!this.output) { + const [outputRows, outputCols, inputChannels] = this.outputShape; + const outputTextureShape = [outputRows * outputCols, inputChannels]; + this.output = new _Tensor.default([], outputTextureShape); + this.output.createGLTexture({ + type: '2d', + format: 'float', + supportsTextureFragments: true + }); + this.output.is2DReshaped = true; + this.output.originalShape = this.outputShape; + this.output.indicesForReshaped = tensorUtils.createIndicesFor2DReshaped(this.outputShape, false, -1); + } + + const input = x.is2DReshaped || x.is2DSquareReshaped ? x : this.tiledInput; + const poolSize = this.poolSize[0] * this.poolSize[1]; + const isMaxPooling = this.poolingFunc === 'max'; + const programUniforms = [{ + value: this.output.glTextureShape[1], + type: 'int', + name: 'channels' + }, { + value: poolSize, + type: 'int', + name: 'poolSize' + }, { + value: +isMaxPooling, + type: 'bool', + name: 'isMaxPooling' + }]; + + if (input.glTextureFragments) { + input.convert2DRowFragmentedGLTextureToColStack(); + + _WebGL.webgl2.runProgram({ + program: this.poolingFragmentsProgram, + output: this.output, + inputs: [{ + input: input, + name: 'x' + }, { + input: this.poolIndexMap, + name: 'poolIndexMap' + }], + uniforms: programUniforms, + supportsTextureFragments: true + }); + + input.removeGLTextureFragmentsAsColStack(); + } else { + _WebGL.webgl2.runProgram({ + program: this.poolingProgram, + output: this.output, + inputs: [{ + input: input, + name: 'x' + }, { + input: this.poolIndexMap, + name: 'poolIndexMap' + }], + uniforms: programUniforms, + supportsTextureFragments: true + }); + } + + if (this.outbound.length === 0) { + this.output.transferFromGLTexture(); + this.output.reshapeFrom2D(); + + if (this.dataFormat === 'channels_first') { + this.output.tensor = this.output.tensor.transpose(2, 0, 1); + } + } + } + +} + +exports.default = _Pooling2D; \ No newline at end of file diff --git a/lib/layers/pooling/_Pooling3D.js b/lib/layers/pooling/_Pooling3D.js new file mode 100644 index 0000000000..652882cf74 --- /dev/null +++ b/lib/layers/pooling/_Pooling3D.js @@ -0,0 +1,359 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _Layer = _interopRequireDefault(require("../../Layer")); + +var _Tensor = _interopRequireDefault(require("../../Tensor")); + +var _WebGL = require("../../WebGL2"); + +var tensorUtils = _interopRequireWildcard(require("../../utils/tensorUtils")); + +var _ndarrayOps = _interopRequireDefault(require("ndarray-ops")); + +function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } } + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +const poolingProgramSource = "#version 300 es\r\nprecision highp float;\r\nprecision highp isampler2D;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D x;\r\nuniform isampler2D poolIndexMap;\r\nuniform int channels;\r\nuniform int poolSize;\r\nuniform bool isMaxPooling;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n int out_x = int(float(channels) * outTex.x);\r\n int out_y = int(float(textureSize(poolIndexMap, 0)[1]) * outTex.y);\r\n\r\n float val = 0.;\r\n int count = 0;\r\n for (int i = 0; i < poolSize; ++i) {\r\n int poolIndex = texelFetch(poolIndexMap, ivec2(i, out_y), 0).r;\r\n if (poolIndex != -1) {\r\n float val2 = texelFetch(x, ivec2(out_x, poolIndex), 0).r;\r\n if (isMaxPooling) {\r\n if (count == 0 || val2 > val) {\r\n val = val2;\r\n }\r\n } else {\r\n val += val2;\r\n }\r\n count += 1;\r\n }\r\n }\r\n\r\n if (!isMaxPooling) {\r\n val /= float(count);\r\n }\r\n\r\n outColor = vec4(val);\r\n}\r\n"; +const poolingFragmentsProgramSource = "#version 300 es\r\nprecision highp float;\r\nprecision highp isampler2D;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D x;\r\nuniform isampler2D poolIndexMap;\r\nuniform int channels;\r\nuniform int poolSize;\r\nuniform bool isMaxPooling;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n ivec2 inputSize = textureSize(x, 0);\r\n ivec2 outputSize = textureSize(poolIndexMap, 0);\r\n int out_x = int(float(channels) * outTex.x);\r\n int out_y = int(float(outputSize[1]) * outTex.y);\r\n\r\n float val = 0.;\r\n int count = 0;\r\n for (int i = 0; i < poolSize; ++i) {\r\n int poolIndex = texelFetch(poolIndexMap, ivec2(i, out_y), 0).r;\r\n int fragmentIndex = int(floor(float(poolIndex) / float(inputSize[1])));\r\n if (poolIndex != -1) {\r\n poolIndex = int(mod(float(poolIndex), float(inputSize[1])));\r\n float val2 = texelFetch(x, ivec2(fragmentIndex * channels + out_x, poolIndex), 0).r;\r\n if (isMaxPooling) {\r\n if (count == 0 || val2 > val) {\r\n val = val2;\r\n }\r\n } else {\r\n val += val2;\r\n }\r\n count += 1;\r\n }\r\n }\r\n\r\n if (!isMaxPooling) {\r\n val /= float(count);\r\n }\r\n\r\n outColor = vec4(val);\r\n}\r\n"; + +class _Pooling3D extends _Layer.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = '_Pooling3D'; + const { + pool_size = [2, 2, 2], + strides = null, + padding = 'valid', + data_format = 'channels_last' + } = attrs; + + if (Array.isArray(pool_size)) { + this.poolSize = pool_size; + } else { + this.poolSize = [pool_size, pool_size, pool_size]; + } + + if (Array.isArray(strides)) { + this.strides = strides; + } else if (strides !== null) { + this.strides = [strides, strides, strides]; + } else { + this.strides = this.poolSize; + } + + this.padding = padding; + this.dataFormat = data_format; + this.poolingFunc = 'max'; + + if (this.gpu) { + this.poolingProgram = _WebGL.webgl2.compileProgram(poolingProgramSource); + this.poolingFragmentsProgram = _WebGL.webgl2.compileProgram(poolingFragmentsProgramSource); + } + } + + call(x) { + if (this.gpu) { + this._callGPU(x); + } else { + this._callCPU(x); + } + + return this.output; + } + + _calcOutputShape(inputShape) { + if (this.outputShape && this.inputPadding) { + return; + } + + const [inputDim1, inputDim2, inputDim3, inputChannels] = inputShape; + const [poolDim1, poolDim2, poolDim3] = this.poolSize; + const outputDim1 = this.padding === 'same' ? Math.floor((inputDim1 + this.strides[0] - 1) / this.strides[0]) : Math.floor((inputDim1 - poolDim1 + this.strides[0]) / this.strides[0]); + const outputDim2 = this.padding === 'same' ? Math.floor((inputDim2 + this.strides[1] - 1) / this.strides[1]) : Math.floor((inputDim2 - poolDim2 + this.strides[1]) / this.strides[1]); + const outputDim3 = this.padding === 'same' ? Math.floor((inputDim3 + this.strides[2] - 1) / this.strides[2]) : Math.floor((inputDim3 - poolDim3 + this.strides[2]) / this.strides[2]); + const paddingDim1 = this.padding === 'same' ? Math.max(0, Math.floor((outputDim1 - 1) * this.strides[0] + poolDim1 - inputDim1)) : 0; + const paddingDim2 = this.padding === 'same' ? Math.max(0, Math.floor((outputDim2 - 1) * this.strides[1] + poolDim2 - inputDim2)) : 0; + const paddingDim3 = this.padding === 'same' ? Math.max(0, Math.floor((outputDim3 - 1) * this.strides[2] + poolDim3 - inputDim3)) : 0; + const paddingDim1Before = Math.floor(paddingDim1 / 2); + const paddingDim1After = paddingDim1 - paddingDim1Before; + const paddingDim2Before = Math.floor(paddingDim2 / 2); + const paddingDim2After = paddingDim2 - paddingDim2Before; + const paddingDim3Before = Math.floor(paddingDim3 / 2); + const paddingDim3After = paddingDim3 - paddingDim3Before; + this.outputShape = [outputDim1, outputDim2, outputDim3, inputChannels]; + this.inputPadding = [paddingDim1Before, paddingDim1After, paddingDim2Before, paddingDim2After, paddingDim3Before, paddingDim3After]; + } + + _padInput(x) { + if (this.padding === 'same') { + const [inputDim1, inputDim2, inputDim3, inputChannels] = x.tensor.shape; + const [paddingDim1Before, paddingDim1After, paddingDim2Before, paddingDim2After, paddingDim3Before, paddingDim3After] = this.inputPadding; + const newDim1 = inputDim1 + paddingDim1Before + paddingDim1After; + const newDim2 = inputDim2 + paddingDim2Before + paddingDim2After; + const newDim3 = inputDim3 + paddingDim3Before + paddingDim3After; + + const _x = new _Tensor.default([], [newDim1, newDim2, newDim3, inputChannels]); + + if (this.poolingFunc === 'max') { + _ndarrayOps.default.assigns(_x.tensor, Number.NEGATIVE_INFINITY); + } + + _ndarrayOps.default.assign(_x.tensor.hi(inputDim1 + paddingDim1Before, inputDim2 + paddingDim2Before, inputDim3 + paddingDim3Before, inputChannels).lo(paddingDim1Before, paddingDim2Before, paddingDim3Before, 0), x.tensor); + + return _x; + } + + return x; + } + + _callCPU(x) { + if (this.dataFormat === 'channels_first') { + x.tensor = x.tensor.transpose(1, 2, 3, 0); + } + + this._calcOutputShape(x.tensor.shape); + + x = this._padInput(x); + const [inputDim1, inputDim2, inputDim3, inputChannels] = x.tensor.shape; + const [poolDim1, poolDim2, poolDim3] = this.poolSize; + this.output = new _Tensor.default([], this.outputShape); + let patch = new _Tensor.default([], [poolDim1, poolDim2, poolDim3, inputChannels]); + const [paddingDim1Before, paddingDim1After, paddingDim2Before, paddingDim2After, paddingDim3Before, paddingDim3After] = this.inputPadding; + + for (let i = 0, _i = 0; i <= inputDim1 - poolDim1; i += this.strides[0], _i++) { + let dim1InPadding = 0; + + if (i < paddingDim1Before) { + dim1InPadding = paddingDim1Before - i; + } else if (i + poolDim1 > inputDim1 - paddingDim1After) { + dim1InPadding = i + poolDim1 - (inputDim1 - paddingDim1After); + } + + for (let j = 0, _j = 0; j <= inputDim2 - poolDim2; j += this.strides[1], _j++) { + let dim2InPadding = 0; + + if (j < paddingDim2Before) { + dim2InPadding = paddingDim2Before - j; + } else if (j + poolDim2 > inputDim2 - paddingDim2After) { + dim2InPadding = j + poolDim2 - (inputDim2 - paddingDim2After); + } + + for (let k = 0, _k = 0; k <= inputDim3 - poolDim3; k += this.strides[2], _k++) { + let dim3InPadding = 0; + + if (k < paddingDim3Before) { + dim3InPadding = paddingDim3Before - k; + } else if (k + poolDim3 > inputDim3 - paddingDim3After) { + dim3InPadding = k + poolDim3 - (inputDim3 - paddingDim3After); + } + + const nbCellsEffective = (poolDim1 - dim1InPadding) * (poolDim2 - dim2InPadding) * (poolDim3 - dim3InPadding); + + _ndarrayOps.default.assign(patch.tensor, x.tensor.hi(i + poolDim1, j + poolDim2, k + poolDim3, inputChannels).lo(i, j, k, 0)); + + for (let c = 0; c < inputChannels; c++) { + if (this.poolingFunc === 'max') { + this.output.tensor.set(_i, _j, _k, c, _ndarrayOps.default.sup(patch.tensor.pick(null, null, null, c))); + } else if (this.poolingFunc === 'average') { + this.output.tensor.set(_i, _j, _k, c, _ndarrayOps.default.sum(patch.tensor.pick(null, null, null, c)) / nbCellsEffective); + } + } + } + } + } + + if (this.dataFormat === 'channels_first') { + this.output.tensor = this.output.tensor.transpose(3, 0, 1, 2); + } + } + + _vol2col(x) { + const [inputDim1, inputDim2, inputDim3, inputChannels] = x.tensor.shape; + + if (!this.tiledInput) { + this.tiledInput = new _Tensor.default([], [inputDim1 * inputDim2 * inputDim3, inputChannels]); + } + + const patch = new _Tensor.default([], [inputDim1, inputDim2, inputDim3]); + const patchRaveled = new _Tensor.default([], [inputDim1 * inputDim2 * inputDim3]); + + for (let c = 0; c < inputChannels; c++) { + _ndarrayOps.default.assign(patch.tensor, x.tensor.pick(null, null, null, c)); + + patchRaveled.replaceTensorData(patch.tensor.data); + + _ndarrayOps.default.assign(this.tiledInput.tensor.pick(null, c), patchRaveled.tensor); + } + + return this.tiledInput; + } + + _createIndexMap() { + if (this.poolIndexMap) { + return; + } + + let inputDim1 = this.inputShape[0]; + let inputDim2 = this.inputShape[1]; + let inputDim3 = this.inputShape[2]; + const rowIndices = new _Tensor.default([], [inputDim1, inputDim2, inputDim3]); + let index = 0; + + for (let i = 0; i < inputDim1; i++) { + for (let j = 0; j < inputDim2; j++) { + for (let k = 0; k < inputDim3; k++) { + rowIndices.tensor.set(i, j, k, index); + index += 1; + } + } + } + + if (this.padding === 'same') { + const [paddingDim1Before, paddingDim1After, paddingDim2Before, paddingDim2After, paddingDim3Before, paddingDim3After] = this.inputPadding; + inputDim1 = inputDim1 + paddingDim1Before + paddingDim1After; + inputDim2 = inputDim2 + paddingDim2Before + paddingDim2After; + inputDim3 = inputDim3 + paddingDim3Before + paddingDim3After; + + const _rowIndices = new _Tensor.default([], [inputDim1, inputDim2, inputDim3]); + + _ndarrayOps.default.assigns(_rowIndices.tensor, -1); + + _ndarrayOps.default.assign(_rowIndices.tensor.hi(this.inputShape[0] + paddingDim1Before, this.inputShape[1] + paddingDim2Before, this.inputShape[2] + paddingDim3Before).lo(paddingDim1Before, paddingDim2Before, paddingDim3Before), rowIndices.tensor); + + rowIndices.tensor = _rowIndices.tensor; + } + + const [poolDim1, poolDim2, poolDim3] = this.poolSize; + const outputDim1 = this.outputShape[0]; + const outputDim2 = this.outputShape[1]; + const outputDim3 = this.outputShape[2]; + this.poolIndexMap = new _Tensor.default([], [outputDim1 * outputDim2 * outputDim3, poolDim1 * poolDim2 * poolDim3], { + type: Int32Array + }); + const patchRow = new _Tensor.default([], [poolDim1, poolDim2, poolDim3]); + let offset = 0; + + for (let i = 0, limit = inputDim1 - poolDim1; i <= limit; i += this.strides[0]) { + for (let j = 0, limit = inputDim2 - poolDim2; j <= limit; j += this.strides[1]) { + for (let k = 0, limit = inputDim3 - poolDim3; k <= limit; k += this.strides[2]) { + _ndarrayOps.default.assign(patchRow.tensor, rowIndices.tensor.hi(i + poolDim1, j + poolDim2, k + poolDim3).lo(i, j, k)); + + this.poolIndexMap.tensor.data.set(patchRow.tensor.data, offset); + offset += poolDim1 * poolDim2 * poolDim3; + } + } + } + + this.poolIndexMap.createGLTexture({ + type: '2d', + format: 'int', + supportsTextureFragments: true + }); + } + + _callGPU(x) { + if (x.is2DReshaped || x.is2DSquareReshaped) { + this.inputShape = x.originalShape; + } else { + if (this.dataFormat === 'channels_first') { + x.tensor = x.tensor.transpose(1, 2, 3, 0); + } + + this.inputShape = x.tensor.shape; + + this._vol2col(x); + + this.tiledInput.createGLTexture({ + type: '2d', + format: 'float', + supportsTextureFragments: true + }); + } + + this._calcOutputShape(this.inputShape); + + this._createIndexMap(); + + if (!this.output) { + const [outputDim1, outputDim2, outputDim3, inputChannels] = this.outputShape; + const outputTextureShape = [outputDim1 * outputDim2 * outputDim3, inputChannels]; + this.output = new _Tensor.default([], outputTextureShape); + this.output.createGLTexture({ + type: '2d', + format: 'float', + supportsTextureFragments: true + }); + this.output.is2DReshaped = true; + this.output.originalShape = this.outputShape; + this.output.indicesForReshaped = tensorUtils.createIndicesFor2DReshaped(this.outputShape, false, -1); + } + + const input = x.is2DReshaped || x.is2DSquareReshaped ? x : this.tiledInput; + const poolSize = this.poolSize[0] * this.poolSize[1] * this.poolSize[2]; + const isMaxPooling = this.poolingFunc === 'max'; + const programUniforms = [{ + value: this.output.glTextureShape[1], + type: 'int', + name: 'channels' + }, { + value: poolSize, + type: 'int', + name: 'poolSize' + }, { + value: +isMaxPooling, + type: 'bool', + name: 'isMaxPooling' + }]; + + if (input.glTextureFragments) { + input.convert2DRowFragmentedGLTextureToColStack(); + + _WebGL.webgl2.runProgram({ + program: this.poolingFragmentsProgram, + output: this.output, + inputs: [{ + input: input, + name: 'x' + }, { + input: this.poolIndexMap, + name: 'poolIndexMap' + }], + uniforms: programUniforms, + supportsTextureFragments: true + }); + + input.removeGLTextureFragmentsAsColStack(); + } else { + _WebGL.webgl2.runProgram({ + program: this.poolingProgram, + output: this.output, + inputs: [{ + input: input, + name: 'x' + }, { + input: this.poolIndexMap, + name: 'poolIndexMap' + }], + uniforms: programUniforms + }); + } + + if (this.outbound.length === 0) { + this.output.transferFromGLTexture(); + this.output.reshapeFrom2D(); + + if (this.dataFormat === 'channels_first') { + this.output.tensor = this.output.tensor.transpose(3, 0, 1, 2); + } + } + } + +} + +exports.default = _Pooling3D; \ No newline at end of file diff --git a/lib/layers/pooling/index.js b/lib/layers/pooling/index.js new file mode 100644 index 0000000000..6774b8b615 --- /dev/null +++ b/lib/layers/pooling/index.js @@ -0,0 +1,103 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +Object.defineProperty(exports, "MaxPooling1D", { + enumerable: true, + get: function () { + return _MaxPooling1D.default; + } +}); +Object.defineProperty(exports, "MaxPooling2D", { + enumerable: true, + get: function () { + return _MaxPooling2D.default; + } +}); +Object.defineProperty(exports, "MaxPooling3D", { + enumerable: true, + get: function () { + return _MaxPooling3D.default; + } +}); +Object.defineProperty(exports, "AveragePooling1D", { + enumerable: true, + get: function () { + return _AveragePooling1D.default; + } +}); +Object.defineProperty(exports, "AveragePooling2D", { + enumerable: true, + get: function () { + return _AveragePooling2D.default; + } +}); +Object.defineProperty(exports, "AveragePooling3D", { + enumerable: true, + get: function () { + return _AveragePooling3D.default; + } +}); +Object.defineProperty(exports, "GlobalMaxPooling1D", { + enumerable: true, + get: function () { + return _GlobalMaxPooling1D.default; + } +}); +Object.defineProperty(exports, "GlobalMaxPooling2D", { + enumerable: true, + get: function () { + return _GlobalMaxPooling2D.default; + } +}); +Object.defineProperty(exports, "GlobalMaxPooling3D", { + enumerable: true, + get: function () { + return _GlobalMaxPooling3D.default; + } +}); +Object.defineProperty(exports, "GlobalAveragePooling1D", { + enumerable: true, + get: function () { + return _GlobalAveragePooling1D.default; + } +}); +Object.defineProperty(exports, "GlobalAveragePooling2D", { + enumerable: true, + get: function () { + return _GlobalAveragePooling2D.default; + } +}); +Object.defineProperty(exports, "GlobalAveragePooling3D", { + enumerable: true, + get: function () { + return _GlobalAveragePooling3D.default; + } +}); + +var _MaxPooling1D = _interopRequireDefault(require("./MaxPooling1D")); + +var _MaxPooling2D = _interopRequireDefault(require("./MaxPooling2D")); + +var _MaxPooling3D = _interopRequireDefault(require("./MaxPooling3D")); + +var _AveragePooling1D = _interopRequireDefault(require("./AveragePooling1D")); + +var _AveragePooling2D = _interopRequireDefault(require("./AveragePooling2D")); + +var _AveragePooling3D = _interopRequireDefault(require("./AveragePooling3D")); + +var _GlobalMaxPooling1D = _interopRequireDefault(require("./GlobalMaxPooling1D")); + +var _GlobalMaxPooling2D = _interopRequireDefault(require("./GlobalMaxPooling2D")); + +var _GlobalMaxPooling3D = _interopRequireDefault(require("./GlobalMaxPooling3D")); + +var _GlobalAveragePooling1D = _interopRequireDefault(require("./GlobalAveragePooling1D")); + +var _GlobalAveragePooling2D = _interopRequireDefault(require("./GlobalAveragePooling2D")); + +var _GlobalAveragePooling3D = _interopRequireDefault(require("./GlobalAveragePooling3D")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } \ No newline at end of file diff --git a/lib/layers/recurrent/GRU.js b/lib/layers/recurrent/GRU.js new file mode 100644 index 0000000000..6bf7c72d37 --- /dev/null +++ b/lib/layers/recurrent/GRU.js @@ -0,0 +1,682 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var activations = _interopRequireWildcard(require("../../activations")); + +var _Tensor = _interopRequireDefault(require("../../Tensor")); + +var _Layer = _interopRequireDefault(require("../../Layer")); + +var _WebGL = require("../../WebGL2"); + +var _ndarrayBlasLevel = require("ndarray-blas-level2"); + +var _ndarrayOps = _interopRequireDefault(require("ndarray-ops")); + +var _cwise = _interopRequireDefault(require("cwise")); + +var activationProgramSources = _interopRequireWildcard(require("../../activations/programSources")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } } + +const copyTextureProgramSource = "#version 300 es\r\nprecision highp float;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D source;\r\nout vec4 outColor;\r\n\r\nvoid main(void) {\r\n outColor = texture(source, vec2(outTex.x, outTex.y));\r\n}\r\n"; +const matMulProgramSource = "#version 300 es\r\nprecision highp float;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D A;\r\nuniform sampler2D B;\r\nuniform sampler2D C;\r\nuniform bool addC;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n ivec2 A_size = textureSize(A, 0);\r\n ivec2 B_size = textureSize(B, 0);\r\n int out_x = int(float(B_size[0]) * outTex.x);\r\n int out_y = int(float(A_size[1]) * outTex.y);\r\n int commonDim = A_size[0];\r\n\r\n float sum = 0.;\r\n for (int i = 0; i < commonDim; ++i) {\r\n float a = texelFetch(A, ivec2(i, out_y), 0).r;\r\n float b = texelFetch(B, ivec2(out_x, i), 0).r;\r\n sum += a * b;\r\n }\r\n\r\n if (addC) {\r\n sum += texelFetch(C, ivec2(out_x, 0), 0).r;\r\n }\r\n\r\n outColor = vec4(sum);\r\n}\r\n"; +const gateSummationProgramSource = "#version 300 es\r\nprecision highp float;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D t1;\r\nuniform sampler2D t2;\r\nuniform sampler2D bias;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n ivec2 size = textureSize(bias, 0);\r\n int out_x = int(float(size[0]) * outTex.x);\r\n int out_y = int(float(size[1]) * outTex.y);\r\n\r\n float t1_val = texelFetch(t1, ivec2(out_x, out_y), 0).r;\r\n float t2_val = texelFetch(t2, ivec2(out_x, out_y), 0).r;\r\n float bias_val = texelFetch(bias, ivec2(out_x, out_y), 0).r;\r\n\r\n outColor = vec4(t1_val + t2_val + bias_val);\r\n}\r\n"; +const gateProductProgramSource = "#version 300 es\r\nprecision highp float;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D t1;\r\nuniform sampler2D t2;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n ivec2 size = textureSize(t1, 0);\r\n int out_x = int(float(size[0]) * outTex.x);\r\n int out_y = int(float(size[1]) * outTex.y);\r\n\r\n float t1_val = texelFetch(t1, ivec2(out_x, out_y), 0).r;\r\n float t2_val = texelFetch(t2, ivec2(out_x, out_y), 0).r;\r\n\r\n outColor = vec4(t1_val * t2_val);\r\n}\r\n"; +const timestepReadProgramSource = "#version 300 es\r\nprecision highp float;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D x;\r\nuniform int index;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n ivec2 size = textureSize(x, 0);\r\n int out_x = int(float(size[0]) * outTex.x);\r\n\r\n outColor = vec4(texelFetch(x, ivec2(out_x, index), 0).r);\r\n}\r\n"; +const timestepWriteProgramSource = "#version 300 es\r\nprecision highp float;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D x;\r\nuniform sampler2D y;\r\nuniform int index;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n ivec2 size = textureSize(y, 0);\r\n int out_x = int(float(size[0]) * outTex.x);\r\n int out_y = int(float(size[1]) * outTex.y);\r\n\r\n if (out_y == index) {\r\n outColor = vec4(texelFetch(x, ivec2(out_x, 0), 0).r);\r\n } else {\r\n outColor = vec4(texelFetch(y, ivec2(out_x, out_y), 0).r);\r\n }\r\n}\r\n"; +const updateProgramSource = "#version 300 es\r\nprecision highp float;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D h;\r\nuniform sampler2D htm1;\r\nuniform sampler2D z;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n ivec2 size = textureSize(h, 0);\r\n int out_x = int(float(size[0]) * outTex.x);\r\n int out_y = int(float(size[1]) * outTex.y);\r\n\r\n float h_val = texelFetch(h, ivec2(out_x, out_y), 0).r;\r\n float htm1_val = texelFetch(htm1, ivec2(out_x, out_y), 0).r;\r\n float z_val = texelFetch(z, ivec2(out_x, out_y), 0).r;\r\n\r\n outColor = vec4(h_val * (float(1.0) - z_val) + htm1_val * z_val);\r\n}\r\n"; + +class GRU extends _Layer.default { + constructor(attrs = {}) { + super(attrs); + Object.defineProperty(this, "_combine", { + configurable: true, + enumerable: true, + writable: true, + value: (0, _cwise.default)({ + args: ['array', 'array', 'array', 'array'], + body: function (_y, _x1, _x2, _b) { + _y = _x1 + _x2 + _b; + } + }) + }); + Object.defineProperty(this, "_update", { + configurable: true, + enumerable: true, + writable: true, + value: (0, _cwise.default)({ + args: ['array', 'array', 'array'], + body: function (_h, _htm1, _z) { + _h = _h * (1 - _z) + _htm1 * _z; + } + }) + }); + this.layerClass = 'GRU'; + const { + units = 1, + activation = 'tanh', + use_bias = true, + recurrent_activation = 'hard_sigmoid', + return_sequences = false, + go_backwards = false, + stateful = false + } = attrs; + this.units = units; + this.activation = activation; + this.recurrentActivation = recurrent_activation; + this.activationFunc = activations[activation]; + this.recurrentActivationFunc = activations[recurrent_activation]; + this.use_bias = use_bias; + this.returnSequences = return_sequences; + this.goBackwards = go_backwards; + this.stateful = stateful; + this.params = this.use_bias ? ['kernel', 'recurrent_kernel', 'bias'] : ['kernel', 'recurrent_kernel']; + + if (this.gpu) { + this.copyTextureProgram = _WebGL.webgl2.compileProgram(copyTextureProgramSource); + this.matMulProgram = _WebGL.webgl2.compileProgram(matMulProgramSource); + this.activationProgram = _WebGL.webgl2.compileProgram(activationProgramSources[this.activation]); + this.recurrentActivationProgram = _WebGL.webgl2.compileProgram(activationProgramSources[this.recurrentActivation]); + this.gateSummationProgram = _WebGL.webgl2.compileProgram(gateSummationProgramSource); + this.gateProductProgram = _WebGL.webgl2.compileProgram(gateProductProgramSource); + this.timestepReadProgram = _WebGL.webgl2.compileProgram(timestepReadProgramSource); + this.timestepWriteProgram = _WebGL.webgl2.compileProgram(timestepWriteProgramSource); + this.updateProgram = _WebGL.webgl2.compileProgram(updateProgramSource); + } + } + + setWeights(weightsArr) { + super.setWeights(weightsArr); + const shape_W = this.weights['kernel'].tensor.shape; + this.weights['W_z'] = new _Tensor.default([], [shape_W[0], this.units]); + this.weights['W_r'] = new _Tensor.default([], [shape_W[0], this.units]); + this.weights['W_h'] = new _Tensor.default([], [shape_W[0], this.units]); + + _ndarrayOps.default.assign(this.weights['W_z'].tensor, this.weights['kernel'].tensor.hi(shape_W[0], this.units).lo(0, 0)); + + _ndarrayOps.default.assign(this.weights['W_r'].tensor, this.weights['kernel'].tensor.hi(shape_W[0], 2 * this.units).lo(0, this.units)); + + _ndarrayOps.default.assign(this.weights['W_h'].tensor, this.weights['kernel'].tensor.hi(shape_W[0], 3 * this.units).lo(0, 2 * this.units)); + + const shape_U = this.weights['recurrent_kernel'].tensor.shape; + this.weights['U_z'] = new _Tensor.default([], [shape_U[0], this.units]); + this.weights['U_r'] = new _Tensor.default([], [shape_U[0], this.units]); + this.weights['U_h'] = new _Tensor.default([], [shape_U[0], this.units]); + + _ndarrayOps.default.assign(this.weights['U_z'].tensor, this.weights['recurrent_kernel'].tensor.hi(shape_U[0], this.units).lo(0, 0)); + + _ndarrayOps.default.assign(this.weights['U_r'].tensor, this.weights['recurrent_kernel'].tensor.hi(shape_U[0], 2 * this.units).lo(0, this.units)); + + _ndarrayOps.default.assign(this.weights['U_h'].tensor, this.weights['recurrent_kernel'].tensor.hi(shape_U[0], 3 * this.units).lo(0, 2 * this.units)); + + this.weights['b_z'] = new _Tensor.default([], [this.units]); + this.weights['b_r'] = new _Tensor.default([], [this.units]); + this.weights['b_h'] = new _Tensor.default([], [this.units]); + + if (this.use_bias) { + _ndarrayOps.default.assign(this.weights['b_z'].tensor, this.weights['bias'].tensor.hi(this.units).lo(0)); + + _ndarrayOps.default.assign(this.weights['b_r'].tensor, this.weights['bias'].tensor.hi(2 * this.units).lo(this.units)); + + _ndarrayOps.default.assign(this.weights['b_h'].tensor, this.weights['bias'].tensor.hi(3 * this.units).lo(2 * this.units)); + } + + if (this.gpu) { + const names = ['W_z', 'W_r', 'W_h', 'U_z', 'U_r', 'U_h', 'b_z', 'b_r', 'b_h']; + names.forEach(name => { + this.weights[name].createGLTexture({ + type: '2d', + format: 'float' + }); + }); + } + } + + call(x) { + if (this.gpu) { + this._callGPU(x); + } else { + this._callCPU(x); + } + + return this.output; + } + + _callCPU(x) { + const dimUpdateGate = this.weights['b_z'].tensor.shape[0]; + const dimResetGate = this.weights['b_r'].tensor.shape[0]; + const dimHiddenState = this.weights['b_h'].tensor.shape[0]; + const currentUpdateGateState = new _Tensor.default([], [dimUpdateGate]); + const tempXZ = new _Tensor.default([], [dimUpdateGate]); + const tempHZ = new _Tensor.default([], [dimUpdateGate]); + const currentResetGateState = new _Tensor.default([], [dimResetGate]); + const tempXR = new _Tensor.default([], [dimResetGate]); + const tempHR = new _Tensor.default([], [dimResetGate]); + const currentHiddenState = this.stateful && this.currentHiddenState ? this.currentHiddenState : new _Tensor.default([], [dimHiddenState]); + const tempXH = new _Tensor.default([], [dimHiddenState]); + const tempHH = new _Tensor.default([], [dimHiddenState]); + const previousHiddenState = new _Tensor.default([], [dimHiddenState]); + this.hiddenStateSequence = new _Tensor.default([], [x.tensor.shape[0], dimHiddenState]); + const currentX = new _Tensor.default([], [x.tensor.shape[1]]); + + const _step = () => { + _ndarrayOps.default.assign(previousHiddenState.tensor, currentHiddenState.tensor); + + (0, _ndarrayBlasLevel.gemv)(1, this.weights['W_z'].tensor.transpose(1, 0), currentX.tensor, 1, tempXZ.tensor); + (0, _ndarrayBlasLevel.gemv)(1, this.weights['U_z'].tensor.transpose(1, 0), previousHiddenState.tensor, 1, tempHZ.tensor); + + this._combine(currentUpdateGateState.tensor, tempXZ.tensor, tempHZ.tensor, this.weights['b_z'].tensor); + + this.recurrentActivationFunc(currentUpdateGateState); + (0, _ndarrayBlasLevel.gemv)(1, this.weights['W_r'].tensor.transpose(1, 0), currentX.tensor, 1, tempXR.tensor); + (0, _ndarrayBlasLevel.gemv)(1, this.weights['U_r'].tensor.transpose(1, 0), previousHiddenState.tensor, 1, tempHR.tensor); + + this._combine(currentResetGateState.tensor, tempXR.tensor, tempHR.tensor, this.weights['b_r'].tensor); + + this.recurrentActivationFunc(currentResetGateState); + + _ndarrayOps.default.muleq(currentResetGateState.tensor, previousHiddenState.tensor); + + (0, _ndarrayBlasLevel.gemv)(1, this.weights['W_h'].tensor.transpose(1, 0), currentX.tensor, 1, tempXH.tensor); + (0, _ndarrayBlasLevel.gemv)(1, this.weights['U_h'].tensor.transpose(1, 0), currentResetGateState.tensor, 1, tempHH.tensor); + + this._combine(currentHiddenState.tensor, tempXH.tensor, tempHH.tensor, this.weights['b_h'].tensor); + + this.activationFunc(currentHiddenState); + + this._update(currentHiddenState.tensor, previousHiddenState.tensor, currentUpdateGateState.tensor); + }; + + for (let i = 0, len = x.tensor.shape[0]; i < len; i++) { + const inputIndex = this.goBackwards ? len - i - 1 : i; + + _ndarrayOps.default.assign(currentX.tensor, x.tensor.pick(inputIndex, null)); + + const tempTensors = [tempXZ, tempHZ, tempXR, tempHR, tempXH, tempHH]; + tempTensors.forEach(temp => _ndarrayOps.default.assigns(temp.tensor, 0)); + + _step(); + + if (this.returnSequences) { + _ndarrayOps.default.assign(this.hiddenStateSequence.tensor.pick(i, null), currentHiddenState.tensor); + } + } + + if (this.returnSequences) { + this.output = this.hiddenStateSequence; + } else { + this.output = currentHiddenState; + } + + if (this.stateful) { + this.currentHiddenState = currentHiddenState; + } + } + + _stepGPU() { + _WebGL.webgl2.runProgram({ + program: this.copyTextureProgram, + output: this.previousHiddenState, + inputs: [{ + input: this.currentHiddenState, + name: 'source' + }] + }); + + _WebGL.webgl2.runProgram({ + program: this.matMulProgram, + output: this.tempXZ, + inputs: [{ + input: this.currentX, + name: 'A' + }, { + input: this.weights['W_z'], + name: 'B' + }], + uniforms: [{ + value: 0, + type: 'bool', + name: 'addC' + }] + }); + + _WebGL.webgl2.runProgram({ + program: this.matMulProgram, + output: this.tempHZ, + inputs: [{ + input: this.previousHiddenState, + name: 'A' + }, { + input: this.weights['U_z'], + name: 'B' + }], + uniforms: [{ + value: 0, + type: 'bool', + name: 'addC' + }] + }); + + _WebGL.webgl2.runProgram({ + program: this.gateSummationProgram, + output: this.currentUpdateGateStatePreactiv, + inputs: [{ + input: this.tempXZ, + name: 't1' + }, { + input: this.tempHZ, + name: 't2' + }, { + input: this.weights['b_z'], + name: 'bias' + }] + }); + + if (this.recurrentActivation !== 'linear') { + _WebGL.webgl2.runProgram({ + program: this.recurrentActivationProgram, + output: this.currentUpdateGateState, + inputs: [{ + input: this.currentUpdateGateStatePreactiv, + name: 'x' + }] + }); + } else { + this.currentUpdateGateState = this.currentUpdateGateStatePreactiv; + } + + _WebGL.webgl2.runProgram({ + program: this.matMulProgram, + output: this.tempXR, + inputs: [{ + input: this.currentX, + name: 'A' + }, { + input: this.weights['W_r'], + name: 'B' + }], + uniforms: [{ + value: 0, + type: 'bool', + name: 'addC' + }] + }); + + _WebGL.webgl2.runProgram({ + program: this.matMulProgram, + output: this.tempHR, + inputs: [{ + input: this.previousHiddenState, + name: 'A' + }, { + input: this.weights['U_r'], + name: 'B' + }], + uniforms: [{ + value: 0, + type: 'bool', + name: 'addC' + }] + }); + + _WebGL.webgl2.runProgram({ + program: this.gateSummationProgram, + output: this.currentResetGateStatePreactiv, + inputs: [{ + input: this.tempXR, + name: 't1' + }, { + input: this.tempHR, + name: 't2' + }, { + input: this.weights['b_r'], + name: 'bias' + }] + }); + + if (this.recurrentActivation !== 'linear') { + _WebGL.webgl2.runProgram({ + program: this.recurrentActivationProgram, + output: this.currentResetGateState, + inputs: [{ + input: this.currentResetGateStatePreactiv, + name: 'x' + }] + }); + } else { + this.currentResetGateState = this.currentResetGateStatePreactiv; + } + + _WebGL.webgl2.runProgram({ + program: this.copyTextureProgram, + output: this.currentResetGateStateCopy, + inputs: [{ + input: this.currentResetGateState, + name: 'source' + }] + }); + + _WebGL.webgl2.runProgram({ + program: this.gateProductProgram, + output: this.currentResetGateState, + inputs: [{ + input: this.currentResetGateStateCopy, + name: 't1' + }, { + input: this.previousHiddenState, + name: 't2' + }] + }); + + _WebGL.webgl2.runProgram({ + program: this.matMulProgram, + output: this.tempXH, + inputs: [{ + input: this.currentX, + name: 'A' + }, { + input: this.weights['W_h'], + name: 'B' + }], + uniforms: [{ + value: 0, + type: 'bool', + name: 'addC' + }] + }); + + _WebGL.webgl2.runProgram({ + program: this.matMulProgram, + output: this.tempHH, + inputs: [{ + input: this.currentResetGateState, + name: 'A' + }, { + input: this.weights['U_h'], + name: 'B' + }], + uniforms: [{ + value: 0, + type: 'bool', + name: 'addC' + }] + }); + + _WebGL.webgl2.runProgram({ + program: this.gateSummationProgram, + output: this.currentHiddenStatePreactiv, + inputs: [{ + input: this.tempXH, + name: 't1' + }, { + input: this.tempHH, + name: 't2' + }, { + input: this.weights['b_h'], + name: 'bias' + }] + }); + + if (this.activation !== 'linear') { + _WebGL.webgl2.runProgram({ + program: this.activationProgram, + output: this.currentHiddenState, + inputs: [{ + input: this.currentHiddenStatePreactiv, + name: 'x' + }] + }); + } else { + this.currentHiddenState = this.currentHiddenStatePreactiv; + } + + _WebGL.webgl2.runProgram({ + program: this.copyTextureProgram, + output: this.currentHiddenStateCopy, + inputs: [{ + input: this.currentHiddenState, + name: 'source' + }] + }); + + _WebGL.webgl2.runProgram({ + program: this.updateProgram, + output: this.currentHiddenState, + inputs: [{ + input: this.currentHiddenStateCopy, + name: 'h' + }, { + input: this.previousHiddenState, + name: 'htm1' + }, { + input: this.currentUpdateGateState, + name: 'z' + }] + }); + } + + _callGPU(x) { + if (!x.glTexture) { + x.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + const dimUpdateGate = this.weights['b_z'].glTextureShape[1]; + const dimResetGate = this.weights['b_r'].glTextureShape[1]; + const dimHiddenState = this.weights['b_h'].glTextureShape[1]; + + if (!this.currentHiddenState || !this.stateful) { + this.currentHiddenState = new _Tensor.default([], [dimHiddenState]); + this.currentHiddenState.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + if (!this.currentHiddenStateCopy) { + this.currentHiddenStateCopy = new _Tensor.default([], [dimHiddenState]); + this.currentHiddenStateCopy.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + if (!this.currentHiddenStatePreactiv) { + this.currentHiddenStatePreactiv = new _Tensor.default([], [dimHiddenState]); + this.currentHiddenStatePreactiv.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + if (!this.currentUpdateGateState) { + this.currentUpdateGateState = new _Tensor.default([], [dimUpdateGate]); + this.currentUpdateGateState.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + if (!this.currentUpdateGateStatePreactiv) { + this.currentUpdateGateStatePreactiv = new _Tensor.default([], [dimUpdateGate]); + this.currentUpdateGateStatePreactiv.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + if (!this.tempXZ) { + this.tempXZ = new _Tensor.default([], [dimUpdateGate]); + this.tempXZ.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + if (!this.tempHZ) { + this.tempHZ = new _Tensor.default([], [dimUpdateGate]); + this.tempHZ.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + if (!this.currentResetGateState) { + this.currentResetGateState = new _Tensor.default([], [dimResetGate]); + this.currentResetGateState.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + if (!this.currentResetGateStateCopy) { + this.currentResetGateStateCopy = new _Tensor.default([], [dimResetGate]); + this.currentResetGateStateCopy.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + if (!this.currentResetGateStatePreactiv) { + this.currentResetGateStatePreactiv = new _Tensor.default([], [dimResetGate]); + this.currentResetGateStatePreactiv.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + if (!this.tempXR) { + this.tempXR = new _Tensor.default([], [dimResetGate]); + this.tempXR.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + if (!this.tempHR) { + this.tempHR = new _Tensor.default([], [dimResetGate]); + this.tempHR.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + if (!this.tempXH) { + this.tempXH = new _Tensor.default([], [dimHiddenState]); + this.tempXH.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + if (!this.tempHH) { + this.tempHH = new _Tensor.default([], [dimHiddenState]); + this.tempHH.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + if (!this.previousHiddenState) { + this.previousHiddenState = new _Tensor.default([], [dimHiddenState]); + this.previousHiddenState.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + if (!this.hiddenStateSequence) { + this.hiddenStateSequence = new _Tensor.default([], [x.glTextureShape[0], dimHiddenState]); + this.hiddenStateSequence.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + if (!this.hiddenStateSequenceCopy) { + this.hiddenStateSequenceCopy = new _Tensor.default([], [x.glTextureShape[0], dimHiddenState]); + this.hiddenStateSequenceCopy.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + if (!this.currentX) { + this.currentX = new _Tensor.default([], [x.glTextureShape[1]]); + this.currentX.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + for (let i = 0, len = x.glTextureShape[0]; i < len; i++) { + const inputIndex = this.goBackwards ? len - i - 1 : i; + + _WebGL.webgl2.runProgram({ + program: this.timestepReadProgram, + output: this.currentX, + inputs: [{ + input: x, + name: 'x' + }], + uniforms: [{ + value: inputIndex, + type: 'int', + name: 'index' + }] + }); + + this._stepGPU(); + + if (this.returnSequences) { + _WebGL.webgl2.runProgram({ + program: this.copyTextureProgram, + output: this.hiddenStateSequenceCopy, + inputs: [{ + input: this.hiddenStateSequence, + name: 'source' + }] + }); + + _WebGL.webgl2.runProgram({ + program: this.timestepWriteProgram, + output: this.hiddenStateSequence, + inputs: [{ + input: this.currentHiddenState, + name: 'x' + }, { + input: this.hiddenStateSequenceCopy, + name: 'y' + }], + uniforms: [{ + value: i, + type: 'int', + name: 'index' + }] + }); + } + } + + if (this.returnSequences) { + this.output = this.hiddenStateSequence; + } else { + this.output = this.currentHiddenState; + } + + if (this.outbound.length === 0) { + this.output.transferFromGLTexture(); + } + } + +} + +exports.default = GRU; \ No newline at end of file diff --git a/lib/layers/recurrent/LSTM.js b/lib/layers/recurrent/LSTM.js new file mode 100644 index 0000000000..66e38fb29c --- /dev/null +++ b/lib/layers/recurrent/LSTM.js @@ -0,0 +1,833 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var activations = _interopRequireWildcard(require("../../activations")); + +var _Tensor = _interopRequireDefault(require("../../Tensor")); + +var _Layer = _interopRequireDefault(require("../../Layer")); + +var _WebGL = require("../../WebGL2"); + +var _ndarrayBlasLevel = require("ndarray-blas-level2"); + +var _ndarrayOps = _interopRequireDefault(require("ndarray-ops")); + +var _cwise = _interopRequireDefault(require("cwise")); + +var activationProgramSources = _interopRequireWildcard(require("../../activations/programSources")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } } + +const copyTextureProgramSource = "#version 300 es\r\nprecision highp float;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D source;\r\nout vec4 outColor;\r\n\r\nvoid main(void) {\r\n outColor = texture(source, vec2(outTex.x, outTex.y));\r\n}\r\n"; +const matMulProgramSource = "#version 300 es\r\nprecision highp float;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D A;\r\nuniform sampler2D B;\r\nuniform sampler2D C;\r\nuniform bool addC;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n ivec2 A_size = textureSize(A, 0);\r\n ivec2 B_size = textureSize(B, 0);\r\n int out_x = int(float(B_size[0]) * outTex.x);\r\n int out_y = int(float(A_size[1]) * outTex.y);\r\n int commonDim = A_size[0];\r\n\r\n float sum = 0.;\r\n for (int i = 0; i < commonDim; ++i) {\r\n float a = texelFetch(A, ivec2(i, out_y), 0).r;\r\n float b = texelFetch(B, ivec2(out_x, i), 0).r;\r\n sum += a * b;\r\n }\r\n\r\n if (addC) {\r\n sum += texelFetch(C, ivec2(out_x, 0), 0).r;\r\n }\r\n\r\n outColor = vec4(sum);\r\n}\r\n"; +const gateSummationProgramSource = "#version 300 es\r\nprecision highp float;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D t1;\r\nuniform sampler2D t2;\r\nuniform sampler2D bias;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n ivec2 size = textureSize(bias, 0);\r\n int out_x = int(float(size[0]) * outTex.x);\r\n int out_y = int(float(size[1]) * outTex.y);\r\n\r\n float t1_val = texelFetch(t1, ivec2(out_x, out_y), 0).r;\r\n float t2_val = texelFetch(t2, ivec2(out_x, out_y), 0).r;\r\n float bias_val = texelFetch(bias, ivec2(out_x, out_y), 0).r;\r\n\r\n outColor = vec4(t1_val + t2_val + bias_val);\r\n}\r\n"; +const gateProductProgramSource = "#version 300 es\r\nprecision highp float;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D t1;\r\nuniform sampler2D t2;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n ivec2 size = textureSize(t1, 0);\r\n int out_x = int(float(size[0]) * outTex.x);\r\n int out_y = int(float(size[1]) * outTex.y);\r\n\r\n float t1_val = texelFetch(t1, ivec2(out_x, out_y), 0).r;\r\n float t2_val = texelFetch(t2, ivec2(out_x, out_y), 0).r;\r\n\r\n outColor = vec4(t1_val * t2_val);\r\n}\r\n"; +const timestepReadProgramSource = "#version 300 es\r\nprecision highp float;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D x;\r\nuniform int index;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n ivec2 size = textureSize(x, 0);\r\n int out_x = int(float(size[0]) * outTex.x);\r\n\r\n outColor = vec4(texelFetch(x, ivec2(out_x, index), 0).r);\r\n}\r\n"; +const timestepWriteProgramSource = "#version 300 es\r\nprecision highp float;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D x;\r\nuniform sampler2D y;\r\nuniform int index;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n ivec2 size = textureSize(y, 0);\r\n int out_x = int(float(size[0]) * outTex.x);\r\n int out_y = int(float(size[1]) * outTex.y);\r\n\r\n if (out_y == index) {\r\n outColor = vec4(texelFetch(x, ivec2(out_x, 0), 0).r);\r\n } else {\r\n outColor = vec4(texelFetch(y, ivec2(out_x, out_y), 0).r);\r\n }\r\n}\r\n"; +const updateProgramSource = "#version 300 es\r\nprecision highp float;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D c;\r\nuniform sampler2D ctm1;\r\nuniform sampler2D i;\r\nuniform sampler2D f;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n ivec2 size = textureSize(c, 0);\r\n int out_x = int(float(size[0]) * outTex.x);\r\n int out_y = int(float(size[1]) * outTex.y);\r\n\r\n float c_val = texelFetch(c, ivec2(out_x, out_y), 0).r;\r\n float ctm1_val = texelFetch(ctm1, ivec2(out_x, out_y), 0).r;\r\n float i_val = texelFetch(i, ivec2(out_x, out_y), 0).r;\r\n float f_val = texelFetch(f, ivec2(out_x, out_y), 0).r;\r\n\r\n outColor = vec4(c_val * i_val + ctm1_val * f_val);\r\n}\r\n"; + +class LSTM extends _Layer.default { + constructor(attrs = {}) { + super(attrs); + Object.defineProperty(this, "_combine", { + configurable: true, + enumerable: true, + writable: true, + value: (0, _cwise.default)({ + args: ['array', 'array', 'array', 'array'], + body: function (_y, _x1, _x2, _b) { + _y = _x1 + _x2 + _b; + } + }) + }); + Object.defineProperty(this, "_update", { + configurable: true, + enumerable: true, + writable: true, + value: (0, _cwise.default)({ + args: ['array', 'array', 'array', 'array'], + body: function (_c, _ctm1, _i, _f) { + _c = _c * _i + _ctm1 * _f; + } + }) + }); + this.layerClass = 'LSTM'; + const { + units = 1, + activation = 'tanh', + use_bias = true, + recurrent_activation = 'hard_sigmoid', + return_sequences = false, + go_backwards = false, + stateful = false + } = attrs; + this.units = units; + this.activation = activation; + this.recurrentActivation = recurrent_activation; + this.activationFunc = activations[activation]; + this.recurrentActivationFunc = activations[recurrent_activation]; + this.use_bias = use_bias; + this.returnSequences = return_sequences; + this.goBackwards = go_backwards; + this.stateful = stateful; + this.params = this.use_bias ? ['kernel', 'recurrent_kernel', 'bias'] : ['kernel', 'recurrent_kernel']; + + if (this.gpu) { + this.copyTextureProgram = _WebGL.webgl2.compileProgram(copyTextureProgramSource); + this.matMulProgram = _WebGL.webgl2.compileProgram(matMulProgramSource); + this.activationProgram = _WebGL.webgl2.compileProgram(activationProgramSources[this.activation]); + this.recurrentActivationProgram = _WebGL.webgl2.compileProgram(activationProgramSources[this.recurrentActivation]); + this.gateSummationProgram = _WebGL.webgl2.compileProgram(gateSummationProgramSource); + this.gateProductProgram = _WebGL.webgl2.compileProgram(gateProductProgramSource); + this.timestepReadProgram = _WebGL.webgl2.compileProgram(timestepReadProgramSource); + this.timestepWriteProgram = _WebGL.webgl2.compileProgram(timestepWriteProgramSource); + this.updateProgram = _WebGL.webgl2.compileProgram(updateProgramSource); + } + } + + setWeights(weightsArr) { + super.setWeights(weightsArr); + const shape_W = this.weights['kernel'].tensor.shape; + this.weights['W_i'] = new _Tensor.default([], [shape_W[0], this.units]); + this.weights['W_f'] = new _Tensor.default([], [shape_W[0], this.units]); + this.weights['W_c'] = new _Tensor.default([], [shape_W[0], this.units]); + this.weights['W_o'] = new _Tensor.default([], [shape_W[0], this.units]); + + _ndarrayOps.default.assign(this.weights['W_i'].tensor, this.weights['kernel'].tensor.hi(shape_W[0], this.units).lo(0, 0)); + + _ndarrayOps.default.assign(this.weights['W_f'].tensor, this.weights['kernel'].tensor.hi(shape_W[0], 2 * this.units).lo(0, this.units)); + + _ndarrayOps.default.assign(this.weights['W_c'].tensor, this.weights['kernel'].tensor.hi(shape_W[0], 3 * this.units).lo(0, 2 * this.units)); + + _ndarrayOps.default.assign(this.weights['W_o'].tensor, this.weights['kernel'].tensor.hi(shape_W[0], 4 * this.units).lo(0, 3 * this.units)); + + const shape_U = this.weights['recurrent_kernel'].tensor.shape; + this.weights['U_i'] = new _Tensor.default([], [shape_U[0], this.units]); + this.weights['U_f'] = new _Tensor.default([], [shape_U[0], this.units]); + this.weights['U_c'] = new _Tensor.default([], [shape_U[0], this.units]); + this.weights['U_o'] = new _Tensor.default([], [shape_U[0], this.units]); + + _ndarrayOps.default.assign(this.weights['U_i'].tensor, this.weights['recurrent_kernel'].tensor.hi(shape_U[0], this.units).lo(0, 0)); + + _ndarrayOps.default.assign(this.weights['U_f'].tensor, this.weights['recurrent_kernel'].tensor.hi(shape_U[0], 2 * this.units).lo(0, this.units)); + + _ndarrayOps.default.assign(this.weights['U_c'].tensor, this.weights['recurrent_kernel'].tensor.hi(shape_U[0], 3 * this.units).lo(0, 2 * this.units)); + + _ndarrayOps.default.assign(this.weights['U_o'].tensor, this.weights['recurrent_kernel'].tensor.hi(shape_U[0], 4 * this.units).lo(0, 3 * this.units)); + + this.weights['b_i'] = new _Tensor.default([], [this.units]); + this.weights['b_f'] = new _Tensor.default([], [this.units]); + this.weights['b_c'] = new _Tensor.default([], [this.units]); + this.weights['b_o'] = new _Tensor.default([], [this.units]); + + if (this.use_bias) { + _ndarrayOps.default.assign(this.weights['b_i'].tensor, this.weights['bias'].tensor.hi(this.units).lo(0)); + + _ndarrayOps.default.assign(this.weights['b_f'].tensor, this.weights['bias'].tensor.hi(2 * this.units).lo(this.units)); + + _ndarrayOps.default.assign(this.weights['b_c'].tensor, this.weights['bias'].tensor.hi(3 * this.units).lo(2 * this.units)); + + _ndarrayOps.default.assign(this.weights['b_o'].tensor, this.weights['bias'].tensor.hi(4 * this.units).lo(3 * this.units)); + } + + if (this.gpu) { + const names = ['W_i', 'W_f', 'W_c', 'W_o', 'U_i', 'U_f', 'U_c', 'U_o', 'b_i', 'b_f', 'b_c', 'b_o']; + names.forEach(name => { + this.weights[name].createGLTexture({ + type: '2d', + format: 'float' + }); + }); + } + } + + call(x) { + if (this.gpu) { + this._callGPU(x); + } else { + this._callCPU(x); + } + + return this.output; + } + + _callCPU(x) { + const dimInputGate = this.weights['b_i'].tensor.shape[0]; + const dimCandidate = this.weights['b_c'].tensor.shape[0]; + const dimForgetGate = this.weights['b_f'].tensor.shape[0]; + const dimOutputGate = this.weights['b_o'].tensor.shape[0]; + const currentInputGateState = new _Tensor.default([], [dimInputGate]); + const tempXI = new _Tensor.default([], [dimInputGate]); + const tempHI = new _Tensor.default([], [dimInputGate]); + const currentForgetGateState = new _Tensor.default([], [dimForgetGate]); + const tempXF = new _Tensor.default([], [dimForgetGate]); + const tempHF = new _Tensor.default([], [dimForgetGate]); + const currentOutputGateState = new _Tensor.default([], [dimOutputGate]); + const tempXO = new _Tensor.default([], [dimOutputGate]); + const tempHO = new _Tensor.default([], [dimOutputGate]); + const currentCandidate = new _Tensor.default([], [dimCandidate]); + const tempXC = new _Tensor.default([], [dimCandidate]); + const tempHC = new _Tensor.default([], [dimCandidate]); + const previousCandidate = this.stateful && this.previousCandidate ? this.previousCandidate : new _Tensor.default([], [dimCandidate]); + const currentHiddenState = this.stateful && this.currentHiddenState ? this.currentHiddenState : new _Tensor.default([], [dimCandidate]); + const previousHiddenState = new _Tensor.default([], [dimCandidate]); + this.hiddenStateSequence = new _Tensor.default([], [x.tensor.shape[0], dimCandidate]); + const currentX = new _Tensor.default([], [x.tensor.shape[1]]); + + const _step = () => { + _ndarrayOps.default.assign(previousHiddenState.tensor, currentHiddenState.tensor); + + (0, _ndarrayBlasLevel.gemv)(1, this.weights['W_i'].tensor.transpose(1, 0), currentX.tensor, 1, tempXI.tensor); + (0, _ndarrayBlasLevel.gemv)(1, this.weights['U_i'].tensor.transpose(1, 0), previousHiddenState.tensor, 1, tempHI.tensor); + + this._combine(currentInputGateState.tensor, tempXI.tensor, tempHI.tensor, this.weights['b_i'].tensor); + + this.recurrentActivationFunc(currentInputGateState); + (0, _ndarrayBlasLevel.gemv)(1, this.weights['W_f'].tensor.transpose(1, 0), currentX.tensor, 1, tempXF.tensor); + (0, _ndarrayBlasLevel.gemv)(1, this.weights['U_f'].tensor.transpose(1, 0), previousHiddenState.tensor, 1, tempHF.tensor); + + this._combine(currentForgetGateState.tensor, tempXF.tensor, tempHF.tensor, this.weights['b_f'].tensor); + + this.recurrentActivationFunc(currentForgetGateState); + (0, _ndarrayBlasLevel.gemv)(1, this.weights['W_o'].tensor.transpose(1, 0), currentX.tensor, 1, tempXO.tensor); + (0, _ndarrayBlasLevel.gemv)(1, this.weights['U_o'].tensor.transpose(1, 0), previousHiddenState.tensor, 1, tempHO.tensor); + + this._combine(currentOutputGateState.tensor, tempXO.tensor, tempHO.tensor, this.weights['b_o'].tensor); + + this.recurrentActivationFunc(currentOutputGateState); + (0, _ndarrayBlasLevel.gemv)(1, this.weights['W_c'].tensor.transpose(1, 0), currentX.tensor, 1, tempXC.tensor); + (0, _ndarrayBlasLevel.gemv)(1, this.weights['U_c'].tensor.transpose(1, 0), previousHiddenState.tensor, 1, tempHC.tensor); + + this._combine(currentCandidate.tensor, tempXC.tensor, tempHC.tensor, this.weights['b_c'].tensor); + + this.activationFunc(currentCandidate); + + this._update(currentCandidate.tensor, previousCandidate.tensor, currentInputGateState.tensor, currentForgetGateState.tensor); + + _ndarrayOps.default.assign(previousCandidate.tensor, currentCandidate.tensor); + + this.activationFunc(currentCandidate); + + _ndarrayOps.default.mul(currentHiddenState.tensor, currentOutputGateState.tensor, currentCandidate.tensor); + }; + + for (let i = 0, len = x.tensor.shape[0]; i < len; i++) { + const inputIndex = this.goBackwards ? len - i - 1 : i; + + _ndarrayOps.default.assign(currentX.tensor, x.tensor.pick(inputIndex, null)); + + const tempTensors = [tempXI, tempHI, tempXF, tempHF, tempXO, tempHO, tempXC, tempHC]; + tempTensors.forEach(temp => _ndarrayOps.default.assigns(temp.tensor, 0)); + + _step(); + + _ndarrayOps.default.assign(this.hiddenStateSequence.tensor.pick(i, null), currentHiddenState.tensor); + } + + if (this.returnSequences) { + this.output = this.hiddenStateSequence; + } else { + this.output = currentHiddenState; + } + + if (this.stateful) { + this.previousCandidate = previousCandidate; + this.currentHiddenState = currentHiddenState; + } + } + + _stepGPU() { + _WebGL.webgl2.runProgram({ + program: this.copyTextureProgram, + output: this.previousHiddenState, + inputs: [{ + input: this.currentHiddenState, + name: 'source' + }] + }); + + _WebGL.webgl2.runProgram({ + program: this.matMulProgram, + output: this.tempXI, + inputs: [{ + input: this.currentX, + name: 'A' + }, { + input: this.weights['W_i'], + name: 'B' + }], + uniforms: [{ + value: 0, + type: 'bool', + name: 'addC' + }] + }); + + _WebGL.webgl2.runProgram({ + program: this.matMulProgram, + output: this.tempHI, + inputs: [{ + input: this.previousHiddenState, + name: 'A' + }, { + input: this.weights['U_i'], + name: 'B' + }], + uniforms: [{ + value: 0, + type: 'bool', + name: 'addC' + }] + }); + + _WebGL.webgl2.runProgram({ + program: this.gateSummationProgram, + output: this.currentInputGateStatePreactiv, + inputs: [{ + input: this.tempXI, + name: 't1' + }, { + input: this.tempHI, + name: 't2' + }, { + input: this.weights['b_i'], + name: 'bias' + }] + }); + + if (this.recurrentActivation !== 'linear') { + _WebGL.webgl2.runProgram({ + program: this.recurrentActivationProgram, + output: this.currentInputGateState, + inputs: [{ + input: this.currentInputGateStatePreactiv, + name: 'x' + }] + }); + } else { + this.currentInputGateState = this.currentInputGateStatePreactiv; + } + + _WebGL.webgl2.runProgram({ + program: this.matMulProgram, + output: this.tempXF, + inputs: [{ + input: this.currentX, + name: 'A' + }, { + input: this.weights['W_f'], + name: 'B' + }], + uniforms: [{ + value: 0, + type: 'bool', + name: 'addC' + }] + }); + + _WebGL.webgl2.runProgram({ + program: this.matMulProgram, + output: this.tempHF, + inputs: [{ + input: this.previousHiddenState, + name: 'A' + }, { + input: this.weights['U_f'], + name: 'B' + }], + uniforms: [{ + value: 0, + type: 'bool', + name: 'addC' + }] + }); + + _WebGL.webgl2.runProgram({ + program: this.gateSummationProgram, + output: this.currentForgetGateStatePreactiv, + inputs: [{ + input: this.tempXF, + name: 't1' + }, { + input: this.tempHF, + name: 't2' + }, { + input: this.weights['b_f'], + name: 'bias' + }] + }); + + if (this.recurrentActivation !== 'linear') { + _WebGL.webgl2.runProgram({ + program: this.recurrentActivationProgram, + output: this.currentForgetGateState, + inputs: [{ + input: this.currentForgetGateStatePreactiv, + name: 'x' + }] + }); + } else { + this.currentForgetGateState = this.currentForgetGateStatePreactiv; + } + + _WebGL.webgl2.runProgram({ + program: this.matMulProgram, + output: this.tempXO, + inputs: [{ + input: this.currentX, + name: 'A' + }, { + input: this.weights['W_o'], + name: 'B' + }], + uniforms: [{ + value: 0, + type: 'bool', + name: 'addC' + }] + }); + + _WebGL.webgl2.runProgram({ + program: this.matMulProgram, + output: this.tempHO, + inputs: [{ + input: this.previousHiddenState, + name: 'A' + }, { + input: this.weights['U_o'], + name: 'B' + }], + uniforms: [{ + value: 0, + type: 'bool', + name: 'addC' + }] + }); + + _WebGL.webgl2.runProgram({ + program: this.gateSummationProgram, + output: this.currentOutputGateStatePreactiv, + inputs: [{ + input: this.tempXO, + name: 't1' + }, { + input: this.tempHO, + name: 't2' + }, { + input: this.weights['b_o'], + name: 'bias' + }] + }); + + if (this.recurrentActivation !== 'linear') { + _WebGL.webgl2.runProgram({ + program: this.recurrentActivationProgram, + output: this.currentOutputGateState, + inputs: [{ + input: this.currentOutputGateStatePreactiv, + name: 'x' + }] + }); + } else { + this.currentOutputGateState = this.currentOutputGateStatePreactiv; + } + + _WebGL.webgl2.runProgram({ + program: this.matMulProgram, + output: this.tempXC, + inputs: [{ + input: this.currentX, + name: 'A' + }, { + input: this.weights['W_c'], + name: 'B' + }], + uniforms: [{ + value: 0, + type: 'bool', + name: 'addC' + }] + }); + + _WebGL.webgl2.runProgram({ + program: this.matMulProgram, + output: this.tempHC, + inputs: [{ + input: this.previousHiddenState, + name: 'A' + }, { + input: this.weights['U_c'], + name: 'B' + }], + uniforms: [{ + value: 0, + type: 'bool', + name: 'addC' + }] + }); + + _WebGL.webgl2.runProgram({ + program: this.gateSummationProgram, + output: this.currentCandidatePreactiv, + inputs: [{ + input: this.tempXC, + name: 't1' + }, { + input: this.tempHC, + name: 't2' + }, { + input: this.weights['b_c'], + name: 'bias' + }] + }); + + if (this.activation !== 'linear') { + _WebGL.webgl2.runProgram({ + program: this.activationProgram, + output: this.currentCandidate, + inputs: [{ + input: this.currentCandidatePreactiv, + name: 'x' + }] + }); + } else { + this.currentCandidate = this.currentCandidatePreactiv; + } + + _WebGL.webgl2.runProgram({ + program: this.copyTextureProgram, + output: this.currentCandidateCopy, + inputs: [{ + input: this.currentCandidate, + name: 'source' + }] + }); + + _WebGL.webgl2.runProgram({ + program: this.updateProgram, + output: this.currentCandidate, + inputs: [{ + input: this.currentCandidateCopy, + name: 'c' + }, { + input: this.previousCandidate, + name: 'ctm1' + }, { + input: this.currentInputGateState, + name: 'i' + }, { + input: this.currentForgetGateState, + name: 'f' + }] + }); + + _WebGL.webgl2.runProgram({ + program: this.copyTextureProgram, + output: this.previousCandidate, + inputs: [{ + input: this.currentCandidate, + name: 'source' + }] + }); + + _WebGL.webgl2.runProgram({ + program: this.copyTextureProgram, + output: this.currentCandidatePreactiv, + inputs: [{ + input: this.currentCandidate, + name: 'source' + }] + }); + + if (this.activation !== 'linear') { + _WebGL.webgl2.runProgram({ + program: this.activationProgram, + output: this.currentCandidate, + inputs: [{ + input: this.currentCandidatePreactiv, + name: 'x' + }] + }); + } else { + this.currentCandidate = this.currentCandidatePreactiv; + } + + _WebGL.webgl2.runProgram({ + program: this.gateProductProgram, + output: this.currentHiddenState, + inputs: [{ + input: this.currentOutputGateState, + name: 't1' + }, { + input: this.currentCandidate, + name: 't2' + }] + }); + } + + _callGPU(x) { + if (!x.glTexture) { + x.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + const dimInputGate = this.weights['b_i'].glTextureShape[1]; + const dimCandidate = this.weights['b_c'].glTextureShape[1]; + const dimForgetGate = this.weights['b_f'].glTextureShape[1]; + const dimOutputGate = this.weights['b_o'].glTextureShape[1]; + + if (!this.currentInputGateState) { + this.currentInputGateState = new _Tensor.default([], [dimInputGate]); + this.currentInputGateState.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + if (!this.currentInputGateStatePreactiv) { + this.currentInputGateStatePreactiv = new _Tensor.default([], [dimInputGate]); + this.currentInputGateStatePreactiv.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + if (!this.tempXI) { + this.tempXI = new _Tensor.default([], [dimInputGate]); + this.tempXI.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + if (!this.tempHI) { + this.tempHI = new _Tensor.default([], [dimInputGate]); + this.tempHI.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + if (!this.currentForgetGateState) { + this.currentForgetGateState = new _Tensor.default([], [dimForgetGate]); + this.currentForgetGateState.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + if (!this.currentForgetGateStatePreactiv) { + this.currentForgetGateStatePreactiv = new _Tensor.default([], [dimForgetGate]); + this.currentForgetGateStatePreactiv.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + if (!this.tempXF) { + this.tempXF = new _Tensor.default([], [dimForgetGate]); + this.tempXF.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + if (!this.tempHF) { + this.tempHF = new _Tensor.default([], [dimForgetGate]); + this.tempHF.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + if (!this.currentOutputGateState) { + this.currentOutputGateState = new _Tensor.default([], [dimOutputGate]); + this.currentOutputGateState.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + if (!this.currentOutputGateStatePreactiv) { + this.currentOutputGateStatePreactiv = new _Tensor.default([], [dimOutputGate]); + this.currentOutputGateStatePreactiv.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + if (!this.tempXO) { + this.tempXO = new _Tensor.default([], [dimOutputGate]); + this.tempXO.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + if (!this.tempHO) { + this.tempHO = new _Tensor.default([], [dimOutputGate]); + this.tempHO.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + if (!this.currentCandidate) { + this.currentCandidate = new _Tensor.default([], [dimCandidate]); + this.currentCandidate.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + if (!this.currentCandidateCopy) { + this.currentCandidateCopy = new _Tensor.default([], [dimCandidate]); + this.currentCandidateCopy.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + if (!this.currentCandidatePreactiv) { + this.currentCandidatePreactiv = new _Tensor.default([], [dimCandidate]); + this.currentCandidatePreactiv.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + if (!this.tempXC) { + this.tempXC = new _Tensor.default([], [dimCandidate]); + this.tempXC.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + if (!this.tempHC) { + this.tempHC = new _Tensor.default([], [dimCandidate]); + this.tempHC.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + if (!this.previousCandidate || !this.stateful) { + this.previousCandidate = new _Tensor.default([], [dimCandidate]); + this.previousCandidate.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + if (!this.currentHiddenState || !this.stateful) { + this.currentHiddenState = new _Tensor.default([], [dimCandidate]); + this.currentHiddenState.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + if (!this.previousHiddenState) { + this.previousHiddenState = new _Tensor.default([], [dimCandidate]); + this.previousHiddenState.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + if (!this.hiddenStateSequence) { + this.hiddenStateSequence = new _Tensor.default([], [x.glTextureShape[0], dimCandidate]); + this.hiddenStateSequence.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + if (!this.hiddenStateSequenceCopy) { + this.hiddenStateSequenceCopy = new _Tensor.default([], [x.glTextureShape[0], dimCandidate]); + this.hiddenStateSequenceCopy.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + if (!this.currentX) { + this.currentX = new _Tensor.default([], [x.glTextureShape[1]]); + this.currentX.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + for (let i = 0, len = x.glTextureShape[0]; i < len; i++) { + const inputIndex = this.goBackwards ? len - i - 1 : i; + + _WebGL.webgl2.runProgram({ + program: this.timestepReadProgram, + output: this.currentX, + inputs: [{ + input: x, + name: 'x' + }], + uniforms: [{ + value: inputIndex, + type: 'int', + name: 'index' + }] + }); + + this._stepGPU(); + + if (this.returnSequences) { + _WebGL.webgl2.runProgram({ + program: this.copyTextureProgram, + output: this.hiddenStateSequenceCopy, + inputs: [{ + input: this.hiddenStateSequence, + name: 'source' + }] + }); + + _WebGL.webgl2.runProgram({ + program: this.timestepWriteProgram, + output: this.hiddenStateSequence, + inputs: [{ + input: this.currentHiddenState, + name: 'x' + }, { + input: this.hiddenStateSequenceCopy, + name: 'y' + }], + uniforms: [{ + value: i, + type: 'int', + name: 'index' + }] + }); + } + } + + if (this.returnSequences) { + this.output = this.hiddenStateSequence; + } else { + this.output = this.currentHiddenState; + } + + if (this.outbound.length === 0) { + this.output.transferFromGLTexture(); + } + } + +} + +exports.default = LSTM; \ No newline at end of file diff --git a/lib/layers/recurrent/SimpleRNN.js b/lib/layers/recurrent/SimpleRNN.js new file mode 100644 index 0000000000..d8f3060b6e --- /dev/null +++ b/lib/layers/recurrent/SimpleRNN.js @@ -0,0 +1,355 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var activations = _interopRequireWildcard(require("../../activations")); + +var _Tensor = _interopRequireDefault(require("../../Tensor")); + +var _Layer = _interopRequireDefault(require("../../Layer")); + +var _WebGL = require("../../WebGL2"); + +var _ndarrayBlasLevel = require("ndarray-blas-level2"); + +var _ndarrayOps = _interopRequireDefault(require("ndarray-ops")); + +var _cwise = _interopRequireDefault(require("cwise")); + +var activationProgramSources = _interopRequireWildcard(require("../../activations/programSources")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } } + +const copyTextureProgramSource = "#version 300 es\r\nprecision highp float;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D source;\r\nout vec4 outColor;\r\n\r\nvoid main(void) {\r\n outColor = texture(source, vec2(outTex.x, outTex.y));\r\n}\r\n"; +const matMulProgramSource = "#version 300 es\r\nprecision highp float;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D A;\r\nuniform sampler2D B;\r\nuniform sampler2D C;\r\nuniform bool addC;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n ivec2 A_size = textureSize(A, 0);\r\n ivec2 B_size = textureSize(B, 0);\r\n int out_x = int(float(B_size[0]) * outTex.x);\r\n int out_y = int(float(A_size[1]) * outTex.y);\r\n int commonDim = A_size[0];\r\n\r\n float sum = 0.;\r\n for (int i = 0; i < commonDim; ++i) {\r\n float a = texelFetch(A, ivec2(i, out_y), 0).r;\r\n float b = texelFetch(B, ivec2(out_x, i), 0).r;\r\n sum += a * b;\r\n }\r\n\r\n if (addC) {\r\n sum += texelFetch(C, ivec2(out_x, 0), 0).r;\r\n }\r\n\r\n outColor = vec4(sum);\r\n}\r\n"; +const gateSummationProgramSource = "#version 300 es\r\nprecision highp float;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D t1;\r\nuniform sampler2D t2;\r\nuniform sampler2D bias;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n ivec2 size = textureSize(bias, 0);\r\n int out_x = int(float(size[0]) * outTex.x);\r\n int out_y = int(float(size[1]) * outTex.y);\r\n\r\n float t1_val = texelFetch(t1, ivec2(out_x, out_y), 0).r;\r\n float t2_val = texelFetch(t2, ivec2(out_x, out_y), 0).r;\r\n float bias_val = texelFetch(bias, ivec2(out_x, out_y), 0).r;\r\n\r\n outColor = vec4(t1_val + t2_val + bias_val);\r\n}\r\n"; +const timestepReadProgramSource = "#version 300 es\r\nprecision highp float;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D x;\r\nuniform int index;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n ivec2 size = textureSize(x, 0);\r\n int out_x = int(float(size[0]) * outTex.x);\r\n\r\n outColor = vec4(texelFetch(x, ivec2(out_x, index), 0).r);\r\n}\r\n"; +const timestepWriteProgramSource = "#version 300 es\r\nprecision highp float;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D x;\r\nuniform sampler2D y;\r\nuniform int index;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n ivec2 size = textureSize(y, 0);\r\n int out_x = int(float(size[0]) * outTex.x);\r\n int out_y = int(float(size[1]) * outTex.y);\r\n\r\n if (out_y == index) {\r\n outColor = vec4(texelFetch(x, ivec2(out_x, 0), 0).r);\r\n } else {\r\n outColor = vec4(texelFetch(y, ivec2(out_x, out_y), 0).r);\r\n }\r\n}\r\n"; + +class SimpleRNN extends _Layer.default { + constructor(attrs = {}) { + super(attrs); + Object.defineProperty(this, "_combine", { + configurable: true, + enumerable: true, + writable: true, + value: (0, _cwise.default)({ + args: ['array', 'array', 'array', 'array'], + body: function (_y, _x1, _x2, _b) { + _y = _x1 + _x2 + _b; + } + }) + }); + this.layerClass = 'SimpleRNN'; + const { + units = 1, + activation = 'tanh', + use_bias = true, + return_sequences = false, + go_backwards = false, + stateful = false + } = attrs; + this.units = units; + this.activation = activation; + this.activationFunc = activations[activation]; + this.use_bias = use_bias; + this.returnSequences = return_sequences; + this.goBackwards = go_backwards; + this.stateful = stateful; + this.params = this.use_bias ? ['kernel', 'recurrent_kernel', 'bias'] : ['kernel', 'recurrent_kernel']; + + if (this.gpu) { + this.copyTextureProgram = _WebGL.webgl2.compileProgram(copyTextureProgramSource); + this.matMulProgram = _WebGL.webgl2.compileProgram(matMulProgramSource); + this.activationProgram = _WebGL.webgl2.compileProgram(activationProgramSources[this.activation]); + this.gateSummationProgram = _WebGL.webgl2.compileProgram(gateSummationProgramSource); + this.timestepReadProgram = _WebGL.webgl2.compileProgram(timestepReadProgramSource); + this.timestepWriteProgram = _WebGL.webgl2.compileProgram(timestepWriteProgramSource); + } + } + + setWeights(weightsArr) { + super.setWeights(weightsArr); + + if (!this.use_bias) { + this.weights['bias'] = new _Tensor.default([], [this.units]); + + if (this.gpu) { + this.weights['bias'].createGLTexture({ + type: '2d', + format: 'float' + }); + } + } + } + + call(x) { + if (this.gpu) { + this._callGPU(x); + } else { + this._callCPU(x); + } + + return this.output; + } + + _callCPU(x) { + const dimHiddenState = this.units; + const currentHiddenState = this.stateful && this.currentHiddenState ? this.currentHiddenState : new _Tensor.default([], [dimHiddenState]); + const tempXH = new _Tensor.default([], [dimHiddenState]); + const tempHH = new _Tensor.default([], [dimHiddenState]); + const previousHiddenState = new _Tensor.default([], [dimHiddenState]); + this.hiddenStateSequence = new _Tensor.default([], [x.tensor.shape[0], dimHiddenState]); + const currentX = new _Tensor.default([], [x.tensor.shape[1]]); + + const _step = () => { + _ndarrayOps.default.assign(previousHiddenState.tensor, currentHiddenState.tensor); + + (0, _ndarrayBlasLevel.gemv)(1, this.weights['kernel'].tensor.transpose(1, 0), currentX.tensor, 1, tempXH.tensor); + (0, _ndarrayBlasLevel.gemv)(1, this.weights['recurrent_kernel'].tensor.transpose(1, 0), previousHiddenState.tensor, 1, tempHH.tensor); + + this._combine(currentHiddenState.tensor, tempXH.tensor, tempHH.tensor, this.weights['bias'].tensor); + + this.activationFunc(currentHiddenState); + }; + + for (let i = 0, len = x.tensor.shape[0]; i < len; i++) { + const inputIndex = this.goBackwards ? len - i - 1 : i; + + _ndarrayOps.default.assign(currentX.tensor, x.tensor.pick(inputIndex, null)); + + const tempTensors = [tempXH, tempHH]; + tempTensors.forEach(temp => _ndarrayOps.default.assigns(temp.tensor, 0)); + + _step(); + + if (this.returnSequences) { + _ndarrayOps.default.assign(this.hiddenStateSequence.tensor.pick(i, null), currentHiddenState.tensor); + } + } + + if (this.returnSequences) { + this.output = this.hiddenStateSequence; + } else { + this.output = currentHiddenState; + } + + if (this.stateful) { + this.currentHiddenState = currentHiddenState; + } + } + + _stepGPU() { + _WebGL.webgl2.runProgram({ + program: this.copyTextureProgram, + output: this.previousHiddenState, + inputs: [{ + input: this.currentHiddenState, + name: 'source' + }] + }); + + _WebGL.webgl2.runProgram({ + program: this.matMulProgram, + output: this.tempXH, + inputs: [{ + input: this.currentX, + name: 'A' + }, { + input: this.weights['kernel'], + name: 'B' + }], + uniforms: [{ + value: 0, + type: 'bool', + name: 'addC' + }] + }); + + _WebGL.webgl2.runProgram({ + program: this.matMulProgram, + output: this.tempHH, + inputs: [{ + input: this.previousHiddenState, + name: 'A' + }, { + input: this.weights['recurrent_kernel'], + name: 'B' + }], + uniforms: [{ + value: 0, + type: 'bool', + name: 'addC' + }] + }); + + _WebGL.webgl2.runProgram({ + program: this.gateSummationProgram, + output: this.currentHiddenStatePreactiv, + inputs: [{ + input: this.tempXH, + name: 't1' + }, { + input: this.tempHH, + name: 't2' + }, { + input: this.weights['bias'], + name: 'bias' + }] + }); + + if (this.activation !== 'linear') { + _WebGL.webgl2.runProgram({ + program: this.activationProgram, + output: this.currentHiddenState, + inputs: [{ + input: this.currentHiddenStatePreactiv, + name: 'x' + }] + }); + } else { + this.currentHiddenState = this.currentHiddenStatePreactiv; + } + } + + _callGPU(x) { + if (!x.glTexture) { + x.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + const dimHiddenState = this.units; + + if (!this.currentHiddenState || !this.stateful) { + this.currentHiddenState = new _Tensor.default([], [dimHiddenState]); + this.currentHiddenState.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + if (!this.currentHiddenStatePreactiv) { + this.currentHiddenStatePreactiv = new _Tensor.default([], [dimHiddenState]); + this.currentHiddenStatePreactiv.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + if (!this.tempXH) { + this.tempXH = new _Tensor.default([], [dimHiddenState]); + this.tempXH.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + if (!this.tempHH) { + this.tempHH = new _Tensor.default([], [dimHiddenState]); + this.tempHH.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + if (!this.previousHiddenState) { + this.previousHiddenState = new _Tensor.default([], [dimHiddenState]); + this.previousHiddenState.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + if (!this.hiddenStateSequence) { + this.hiddenStateSequence = new _Tensor.default([], [x.glTextureShape[0], dimHiddenState]); + this.hiddenStateSequence.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + if (!this.hiddenStateSequenceCopy) { + this.hiddenStateSequenceCopy = new _Tensor.default([], [x.glTextureShape[0], dimHiddenState]); + this.hiddenStateSequenceCopy.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + if (!this.currentX) { + this.currentX = new _Tensor.default([], [x.glTextureShape[1]]); + this.currentX.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + for (let i = 0, len = x.glTextureShape[0]; i < len; i++) { + const inputIndex = this.goBackwards ? len - i - 1 : i; + + _WebGL.webgl2.runProgram({ + program: this.timestepReadProgram, + output: this.currentX, + inputs: [{ + input: x, + name: 'x' + }], + uniforms: [{ + value: inputIndex, + type: 'int', + name: 'index' + }] + }); + + this._stepGPU(); + + if (this.returnSequences) { + _WebGL.webgl2.runProgram({ + program: this.copyTextureProgram, + output: this.hiddenStateSequenceCopy, + inputs: [{ + input: this.hiddenStateSequence, + name: 'source' + }] + }); + + _WebGL.webgl2.runProgram({ + program: this.timestepWriteProgram, + output: this.hiddenStateSequence, + inputs: [{ + input: this.currentHiddenState, + name: 'x' + }, { + input: this.hiddenStateSequenceCopy, + name: 'y' + }], + uniforms: [{ + value: i, + type: 'int', + name: 'index' + }] + }); + } + } + + if (this.returnSequences) { + this.output = this.hiddenStateSequence; + } else { + this.output = this.currentHiddenState; + } + + if (this.outbound.length === 0) { + this.output.transferFromGLTexture(); + } + } + +} + +exports.default = SimpleRNN; \ No newline at end of file diff --git a/lib/layers/recurrent/index.js b/lib/layers/recurrent/index.js new file mode 100644 index 0000000000..d5f72ef7fb --- /dev/null +++ b/lib/layers/recurrent/index.js @@ -0,0 +1,31 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +Object.defineProperty(exports, "SimpleRNN", { + enumerable: true, + get: function () { + return _SimpleRNN.default; + } +}); +Object.defineProperty(exports, "LSTM", { + enumerable: true, + get: function () { + return _LSTM.default; + } +}); +Object.defineProperty(exports, "GRU", { + enumerable: true, + get: function () { + return _GRU.default; + } +}); + +var _SimpleRNN = _interopRequireDefault(require("./SimpleRNN")); + +var _LSTM = _interopRequireDefault(require("./LSTM")); + +var _GRU = _interopRequireDefault(require("./GRU")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } \ No newline at end of file diff --git a/lib/layers/wrappers/Bidirectional.js b/lib/layers/wrappers/Bidirectional.js new file mode 100644 index 0000000000..736ca2e452 --- /dev/null +++ b/lib/layers/wrappers/Bidirectional.js @@ -0,0 +1,210 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _Layer = _interopRequireDefault(require("../../Layer")); + +var _Tensor = _interopRequireDefault(require("../../Tensor")); + +var _WebGL = require("../../WebGL2"); + +var _ndarrayOps = _interopRequireDefault(require("ndarray-ops")); + +var recurrentLayers = _interopRequireWildcard(require("../recurrent")); + +function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } } + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +const copyTextureProgramSource = "#version 300 es\r\nprecision highp float;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D source;\r\nout vec4 outColor;\r\n\r\nvoid main(void) {\r\n outColor = texture(source, vec2(outTex.x, outTex.y));\r\n}\r\n"; +const concatMergeProgramSource = "#version 300 es\r\nprecision highp float;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D forward;\r\nuniform sampler2D backward;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n ivec2 size = textureSize(forward, 0);\r\n int out_x = int(float(size[0] * 2) * outTex.x);\r\n int out_y = int(float(size[1]) * outTex.y);\r\n\r\n if (out_x >= 0 && out_x < size[0]) {\r\n outColor = vec4(texelFetch(forward, ivec2(out_x, out_y), 0).r);\r\n } else {\r\n outColor = vec4(texelFetch(backward, ivec2(out_x - size[0], size[1] - out_y - 1), 0).r);\r\n }\r\n}\r\n"; +const sumMergeProgramSource = "#version 300 es\r\nprecision highp float;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D forward;\r\nuniform sampler2D backward;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n ivec2 size = textureSize(forward, 0);\r\n int out_x = int(float(size[0]) * outTex.x);\r\n int out_y = int(float(size[1]) * outTex.y);\r\n\r\n float forward_val = texelFetch(forward, ivec2(out_x, out_y), 0).r;\r\n float backward_val = texelFetch(backward, ivec2(out_x, size[1] - out_y - 1), 0).r;\r\n\r\n outColor = vec4(forward_val + backward_val);\r\n}\r\n"; +const mulMergeProgramSource = "#version 300 es\r\nprecision highp float;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D forward;\r\nuniform sampler2D backward;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n ivec2 size = textureSize(forward, 0);\r\n int out_x = int(float(size[0]) * outTex.x);\r\n int out_y = int(float(size[1]) * outTex.y);\r\n\r\n float forward_val = texelFetch(forward, ivec2(out_x, out_y), 0).r;\r\n float backward_val = texelFetch(backward, ivec2(out_x, size[1] - out_y - 1), 0).r;\r\n\r\n outColor = vec4(forward_val * backward_val);\r\n}\r\n"; +const aveMergeProgramSource = "#version 300 es\r\nprecision highp float;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D forward;\r\nuniform sampler2D backward;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n ivec2 size = textureSize(forward, 0);\r\n int out_x = int(float(size[0]) * outTex.x);\r\n int out_y = int(float(size[1]) * outTex.y);\r\n\r\n float forward_val = texelFetch(forward, ivec2(out_x, out_y), 0).r;\r\n float backward_val = texelFetch(backward, ivec2(out_x, size[1] - out_y - 1), 0).r;\r\n\r\n outColor = vec4(0.5 * (forward_val + backward_val));\r\n}\r\n"; + +class Bidirectional extends _Layer.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = 'Bidirectional'; + const { + layer, + merge_mode = 'concat' + } = attrs; + + if (!layer) { + this.throwError('wrapped layer is undefined.'); + } + + if (!['SimpleRNN', 'GRU', 'LSTM'].includes(layer.class_name)) { + this.throwError(`cannot wrap ${layer.class_name} layer.`); + } + + if (!['concat', 'sum', 'mul', 'ave'].includes(merge_mode)) { + this.throwError(`merge_mode ${merge_mode} not supported.`); + } + + const forwardLayerAttrs = Object.assign({}, layer.config, { + gpu: attrs.gpu + }); + const backwardLayerAttrs = Object.assign({}, layer.config, { + gpu: attrs.gpu + }); + backwardLayerAttrs.go_backwards = !backwardLayerAttrs.go_backwards; + this.forwardLayer = new recurrentLayers[layer.class_name](forwardLayerAttrs); + this.backwardLayer = new recurrentLayers[layer.class_name](backwardLayerAttrs); + this.forwardLayer.outbound = [null]; + this.backwardLayer.outbound = [null]; + this.mergeMode = merge_mode; + this.returnSequences = layer.config.return_sequences; + + if (this.gpu) { + this.copyTextureProgram = _WebGL.webgl2.compileProgram(copyTextureProgramSource); + + if (this.mergeMode === 'concat') { + this.mergeProgram = _WebGL.webgl2.compileProgram(concatMergeProgramSource); + } else if (this.mergeMode === 'sum') { + this.mergeProgram = _WebGL.webgl2.compileProgram(sumMergeProgramSource); + } else if (this.mergeMode === 'mul') { + this.mergeProgram = _WebGL.webgl2.compileProgram(mulMergeProgramSource); + } else if (this.mergeMode === 'ave') { + this.mergeProgram = _WebGL.webgl2.compileProgram(aveMergeProgramSource); + } + } + } + + setWeights(weightsArr) { + this.forwardLayer.setWeights(weightsArr.slice(0, weightsArr.length / 2)); + this.backwardLayer.setWeights(weightsArr.slice(weightsArr.length / 2)); + } + + call(x) { + if (this.gpu) { + this._callGPU(x); + } else { + this._callCPU(x); + } + + return this.output; + } + + _callCPU(x) { + this.forwardLayer._callCPU(new _Tensor.default(x.tensor.data, x.tensor.shape)); + + this.backwardLayer._callCPU(new _Tensor.default(x.tensor.data, x.tensor.shape)); + + const forwardOutput = this.forwardLayer.output; + const backwardOutput = this.backwardLayer.output; + + if (this.returnSequences) { + backwardOutput.tensor = backwardOutput.tensor.step(-1); + } + + const outShape = forwardOutput.tensor.shape.slice(); + + if (this.mergeMode === 'concat') { + outShape[outShape.length - 1] += backwardOutput.tensor.shape[outShape.length - 1]; + } + + this.output = new _Tensor.default([], outShape); + + if (this.mergeMode === 'concat') { + if (this.returnSequences) { + _ndarrayOps.default.assign(this.output.tensor.hi(outShape[0], forwardOutput.tensor.shape[1]).lo(0, 0), forwardOutput.tensor); + + _ndarrayOps.default.assign(this.output.tensor.hi(outShape[0], outShape[1]).lo(0, forwardOutput.tensor.shape[1]), backwardOutput.tensor); + } else { + _ndarrayOps.default.assign(this.output.tensor.hi(forwardOutput.tensor.shape[0]).lo(0), forwardOutput.tensor); + + _ndarrayOps.default.assign(this.output.tensor.hi(outShape[0]).lo(forwardOutput.tensor.shape[0]), backwardOutput.tensor); + } + } else if (this.mergeMode === 'sum') { + _ndarrayOps.default.addeq(this.output.tensor, forwardOutput.tensor); + + _ndarrayOps.default.addeq(this.output.tensor, backwardOutput.tensor); + } else if (this.mergeMode === 'mul') { + _ndarrayOps.default.assigns(this.output.tensor, 1); + + _ndarrayOps.default.muleq(this.output.tensor, forwardOutput.tensor); + + _ndarrayOps.default.muleq(this.output.tensor, backwardOutput.tensor); + } else if (this.mergeMode === 'ave') { + _ndarrayOps.default.addeq(this.output.tensor, forwardOutput.tensor); + + _ndarrayOps.default.addeq(this.output.tensor, backwardOutput.tensor); + + _ndarrayOps.default.divseq(this.output.tensor, 2); + } + } + + _callGPU(x) { + if (!x.glTexture) { + x.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + if (!this.inputCopy) { + this.inputCopy = new _Tensor.default([], x.glTextureShape); + this.inputCopy.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + _WebGL.webgl2.runProgram({ + program: this.copyTextureProgram, + output: this.inputCopy, + inputs: [{ + input: x, + name: 'source' + }] + }); + + this.forwardLayer._callGPU(x); + + this.backwardLayer._callGPU(this.inputCopy); + + const forwardOutput = this.forwardLayer.output; + const backwardOutput = this.backwardLayer.output; + const outShape = forwardOutput.glTextureShape.slice(); + + if (this.mergeMode === 'concat') { + outShape[1] += backwardOutput.glTextureShape[1]; + } + + if (!this.output) { + this.output = new _Tensor.default([], outShape); + this.output.createGLTexture({ + type: '2d', + format: 'float' + }); + + if (!this.returnSequences) { + this.output.is1D = true; + } + } + + _WebGL.webgl2.runProgram({ + program: this.mergeProgram, + output: this.output, + inputs: [{ + input: forwardOutput, + name: 'forward' + }, { + input: backwardOutput, + name: 'backward' + }] + }); + + if (this.outbound.length === 0) { + this.output.transferFromGLTexture(); + } + } + +} + +exports.default = Bidirectional; \ No newline at end of file diff --git a/lib/layers/wrappers/TimeDistributed.js b/lib/layers/wrappers/TimeDistributed.js new file mode 100644 index 0000000000..842ffa9993 --- /dev/null +++ b/lib/layers/wrappers/TimeDistributed.js @@ -0,0 +1,409 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _Layer = _interopRequireDefault(require("../../Layer")); + +var _Tensor = _interopRequireDefault(require("../../Tensor")); + +var _WebGL = require("../../WebGL2"); + +var _ndarrayOps = _interopRequireDefault(require("ndarray-ops")); + +var layers = _interopRequireWildcard(require("../")); + +function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } } + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +const copyTextureProgramSource = "#version 300 es\r\nprecision highp float;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D source;\r\nout vec4 outColor;\r\n\r\nvoid main(void) {\r\n outColor = texture(source, vec2(outTex.x, outTex.y));\r\n}\r\n"; +const mapInputProgramSource = "#version 300 es\r\nprecision highp float;\r\nprecision highp isampler2D;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D x;\r\nuniform isampler2D indexMap;\r\nuniform int inputCols;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n ivec2 size = textureSize(indexMap, 0);\r\n int out_x = int(float(size[0]) * outTex.x);\r\n int out_y = int(float(size[1]) * outTex.y);\r\n\r\n int index = texelFetch(indexMap, ivec2(out_x, out_y), 0).r;\r\n\r\n if (index != -1) {\r\n int rowIndex = int(floor(float(index) / float(inputCols)));\r\n int colIndex = int(mod(float(index), float(inputCols)));\r\n float val = texelFetch(x, ivec2(colIndex, rowIndex), 0).r;\r\n outColor = vec4(val);\r\n } else {\r\n outColor = vec4(0.0);\r\n }\r\n}\r\n"; +const selectSliceProgramSource = "#version 300 es\r\nprecision highp float;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D x;\r\nuniform int t;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n ivec2 size = textureSize(x, 0);\r\n int out_x = int(float(size[0]) * outTex.x);\r\n\r\n outColor = vec4(texelFetch(x, ivec2(out_x, t), 0).r);\r\n}\r\n"; +const copySliceOutputProgramSource = "#version 300 es\r\nprecision highp float;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D outputCopy;\r\nuniform sampler2D sliceOutput;\r\nuniform int t;\r\nuniform int timesteps;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n ivec2 size = textureSize(sliceOutput, 0);\r\n int out_x = int(float(size[0]) * outTex.x);\r\n int out_y = int(float(timesteps) * outTex.y);\r\n\r\n if (t == out_y) {\r\n outColor = vec4(texelFetch(sliceOutput, ivec2(out_x, 0), 0).r);\r\n } else {\r\n outColor = texelFetch(outputCopy, ivec2(out_x, out_y), 0);\r\n }\r\n}\r\n"; +const mapSliceOutputProgramSource = "#version 300 es\r\nprecision highp float;\r\nprecision highp isampler2D;\r\n\r\nin vec2 outTex;\r\nuniform sampler2D outputCopy;\r\nuniform sampler2D sliceOutput;\r\nuniform isampler2D indexMap;\r\nout vec4 outColor;\r\n\r\nvoid main() {\r\n ivec2 size = textureSize(outputCopy, 0);\r\n int out_x = int(float(size[0]) * outTex.x);\r\n int out_y = int(float(size[1]) * outTex.y);\r\n\r\n int index = texelFetch(indexMap, ivec2(out_x, out_y), 0).r;\r\n\r\n if (index != -1) {\r\n int rowIndex = int(floor(float(index) / float(textureSize(sliceOutput, 0)[0])));\r\n int colIndex = int(mod(float(index), float(textureSize(sliceOutput, 0)[0])));\r\n float val = texelFetch(sliceOutput, ivec2(colIndex, rowIndex), 0).r;\r\n outColor = vec4(val);\r\n } else {\r\n outColor = texelFetch(outputCopy, ivec2(out_x, out_y), 0);\r\n }\r\n}\r\n"; + +class TimeDistributed extends _Layer.default { + constructor(attrs = {}) { + super(attrs); + this.layerClass = 'TimeDistributed'; + const { + layer + } = attrs; + + if (!layer) { + this.throwError('wrapped layer is undefined.'); + } + + const wrappedLayerAttrs = Object.assign({}, layer.config, { + gpu: attrs.gpu + }); + this.wrappedLayer = new layers[layer.class_name](wrappedLayerAttrs); + this.wrappedLayer.outbound = [null]; + + if (this.gpu) { + this.copyTextureProgram = _WebGL.webgl2.compileProgram(copyTextureProgramSource); + this.mapInputProgram = _WebGL.webgl2.compileProgram(mapInputProgramSource); + this.selectSliceProgram = _WebGL.webgl2.compileProgram(selectSliceProgramSource); + this.copySliceOutputProgram = _WebGL.webgl2.compileProgram(copySliceOutputProgramSource); + this.mapSliceOutputProgram = _WebGL.webgl2.compileProgram(mapSliceOutputProgramSource); + } + } + + setWeights(weightsArr) { + this.wrappedLayer.setWeights(weightsArr); + } + + call(x) { + if (this.gpu) { + this._callGPU(x); + } else { + this._callCPU(x); + } + + return this.output; + } + + _callCPU(x) { + const stepShape = [...x.tensor.shape.slice(1)]; + const step = new _Tensor.default([], stepShape); + + _ndarrayOps.default.assign(step.tensor, x.tensor.pick(0, ...Array(stepShape.length).fill(null))); + + let stepOutput = this.wrappedLayer.call(step); + const stepOutputShape = stepOutput.tensor.shape.slice(); + this.output = new _Tensor.default([], [x.tensor.shape[0], ...stepOutputShape]); + + _ndarrayOps.default.assign(this.output.tensor.pick(0, ...Array(stepOutputShape.length).fill(null)), stepOutput.tensor); + + for (let i = 1, timesteps = x.tensor.shape[0]; i < timesteps; i++) { + _ndarrayOps.default.assign(step.tensor, x.tensor.pick(i, ...Array(stepShape.length).fill(null))); + + stepOutput = this.wrappedLayer.call(step); + + _ndarrayOps.default.assign(this.output.tensor.pick(i, ...Array(stepOutputShape.length).fill(null)), stepOutput.tensor); + } + } + + _createIndexMap(indicesForReshaped) { + if (this.indexMaps) { + return; + } + + const indices = new _Tensor.default(indicesForReshaped.data, indicesForReshaped.shape, { + type: Int32Array + }); + this.indexMaps = []; + const timesteps = this.inputShape[0]; + const sliceShape = this.inputShape.slice(1); + + for (let t = 0; t < timesteps; t++) { + const sliceIndices = new _Tensor.default([], sliceShape, { + type: Int32Array + }); + + _ndarrayOps.default.assign(sliceIndices.tensor, indices.tensor.pick(t, ...Array(sliceShape.length).fill(null))); + + sliceIndices.reshapeTo2DSquare(); + sliceIndices.createGLTexture({ + type: '2d', + format: 'int' + }); + this.indexMaps.push(sliceIndices); + } + } + + _createOutputIndexMap(indicesForReshaped) { + if (this.outputIndexMaps) { + return; + } + + const outputSliceIndices = new _Tensor.default(indicesForReshaped.data, indicesForReshaped.shape, { + type: Int32Array + }); + this.outputIndexMaps = []; + const timesteps = this.outputShape[0]; + const sliceShape = this.outputShape.slice(1); + + for (let t = 0; t < timesteps; t++) { + const outputIndices = new _Tensor.default([], this.outputShape, { + type: Int32Array + }); + + _ndarrayOps.default.assigns(outputIndices.tensor, -1); + + _ndarrayOps.default.assign(outputIndices.tensor.pick(t, ...Array(sliceShape.length).fill(null)), outputSliceIndices.tensor); + + outputIndices.reshapeTo2DSquare(); + outputIndices.createGLTexture({ + type: '2d', + format: 'int' + }); + this.outputIndexMaps.push(outputIndices); + } + } + + _callGPU(x) { + if (x.is2DReshaped || x.is2DSquareReshaped) { + this.inputShape = x.originalShape; + } else { + this.inputShape = x.tensor.shape; + } + + if (!x.glTexture) { + if (x.tensor.shape.length <= 2) { + x.createGLTexture({ + type: '2d', + format: 'float' + }); + } else if (x.tensor.shape.length > 2 && !x.is2DReshaped) { + x.reshapeTo2DSquare(); + x.createGLTexture({ + type: '2d', + format: 'float' + }); + } + } + + if (this.inputShape.length > 2) { + this._createIndexMap(x.indicesForReshaped); + } + + const timesteps = this.inputShape[0]; + const sliceShape = this.inputShape.slice(1); + + if (!this.slice) { + this.slice = new _Tensor.default([], sliceShape); + + if (sliceShape.length <= 2) { + this.slice.createGLTexture({ + type: '2d', + format: 'float' + }); + } else { + this.slice.reshapeTo2DSquare(); + this.slice.createGLTexture({ + type: '2d', + format: 'float' + }); + } + } + + if (this.inputShape.length <= 2) { + _WebGL.webgl2.runProgram({ + program: this.selectSliceProgram, + output: this.slice, + inputs: [{ + input: x, + name: 'x' + }], + uniforms: [{ + value: 0, + type: 'int', + name: 't' + }] + }); + } else { + _WebGL.webgl2.runProgram({ + program: this.mapInputProgram, + output: this.slice, + inputs: [{ + input: x, + name: 'x' + }, { + input: this.indexMaps[0], + name: 'indexMap' + }], + uniforms: [{ + value: x.glTextureShape[1], + type: 'int', + name: 'inputCols' + }] + }); + } + + this.wrappedLayer._callGPU(this.slice); + + this.sliceOutput = this.wrappedLayer.output; + + if (!this.output) { + if (this.inputShape.length <= 2) { + this.outputShape = [timesteps, this.sliceOutput.glTextureShape[1]]; + this.output = new _Tensor.default([], this.outputShape); + this.outputCopy = new _Tensor.default([], this.outputShape); + this.output.createGLTexture({ + type: '2d', + format: 'float' + }); + this.outputCopy.createGLTexture({ + type: '2d', + format: 'float' + }); + } else { + this.outputShape = [timesteps, ...this.sliceOutput.originalShape]; + this.output = new _Tensor.default([], this.outputShape); + this.outputCopy = new _Tensor.default([], this.outputShape); + this.output.reshapeTo2DSquare(); + this.outputCopy.reshapeTo2DSquare(); + this.output.createGLTexture({ + type: '2d', + format: 'float' + }); + this.outputCopy.createGLTexture({ + type: '2d', + format: 'float' + }); + + this._createOutputIndexMap(this.sliceOutput.indicesForReshaped); + } + } + + _WebGL.webgl2.runProgram({ + program: this.copyTextureProgram, + output: this.outputCopy, + inputs: [{ + input: this.output, + name: 'source' + }] + }); + + if (this.inputShape.length <= 2) { + _WebGL.webgl2.runProgram({ + program: this.copySliceOutputProgram, + output: this.output, + inputs: [{ + input: this.outputCopy, + name: 'outputCopy' + }, { + input: this.sliceOutput, + name: 'sliceOutput' + }], + uniforms: [{ + value: 0, + type: 'int', + name: 't' + }, { + value: timesteps, + type: 'int', + name: 'timesteps' + }] + }); + } else { + _WebGL.webgl2.runProgram({ + program: this.mapSliceOutputProgram, + output: this.output, + inputs: [{ + input: this.outputCopy, + name: 'outputCopy' + }, { + input: this.sliceOutput, + name: 'sliceOutput' + }, { + input: this.outputIndexMaps[0], + name: 'indexMap' + }] + }); + } + + for (let i = 1; i < timesteps; i++) { + if (this.inputShape.length <= 2) { + _WebGL.webgl2.runProgram({ + program: this.selectSliceProgram, + output: this.slice, + inputs: [{ + input: x, + name: 'x' + }], + uniforms: [{ + value: i, + type: 'int', + name: 't' + }] + }); + } else { + _WebGL.webgl2.runProgram({ + program: this.mapInputProgram, + output: this.slice, + inputs: [{ + input: x, + name: 'x' + }, { + input: this.indexMaps[i], + name: 'indexMap' + }], + uniforms: [{ + value: x.glTextureShape[1], + type: 'int', + name: 'inputCols' + }] + }); + } + + this.wrappedLayer._callGPU(this.slice); + + this.sliceOutput = this.wrappedLayer.output; + + _WebGL.webgl2.runProgram({ + program: this.copyTextureProgram, + output: this.outputCopy, + inputs: [{ + input: this.output, + name: 'source' + }] + }); + + if (this.inputShape.length <= 2) { + _WebGL.webgl2.runProgram({ + program: this.copySliceOutputProgram, + output: this.output, + inputs: [{ + input: this.outputCopy, + name: 'outputCopy' + }, { + input: this.sliceOutput, + name: 'sliceOutput' + }], + uniforms: [{ + value: i, + type: 'int', + name: 't' + }, { + value: timesteps, + type: 'int', + name: 'timesteps' + }] + }); + } else { + _WebGL.webgl2.runProgram({ + program: this.mapSliceOutputProgram, + output: this.output, + inputs: [{ + input: this.outputCopy, + name: 'outputCopy' + }, { + input: this.sliceOutput, + name: 'sliceOutput' + }, { + input: this.outputIndexMaps[i], + name: 'indexMap' + }] + }); + } + } + + if (this.outbound.length === 0) { + this.output.transferFromGLTexture(); + + if (this.output.is2DReshaped) { + this.output.reshapeFrom2D(); + } else if (this.output.is2DSquareReshaped) { + this.output.reshapeFrom2DSquare(); + } + } + } + +} + +exports.default = TimeDistributed; \ No newline at end of file diff --git a/lib/layers/wrappers/index.js b/lib/layers/wrappers/index.js new file mode 100644 index 0000000000..48c31cf75e --- /dev/null +++ b/lib/layers/wrappers/index.js @@ -0,0 +1,23 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +Object.defineProperty(exports, "TimeDistributed", { + enumerable: true, + get: function () { + return _TimeDistributed.default; + } +}); +Object.defineProperty(exports, "Bidirectional", { + enumerable: true, + get: function () { + return _Bidirectional.default; + } +}); + +var _TimeDistributed = _interopRequireDefault(require("./TimeDistributed")); + +var _Bidirectional = _interopRequireDefault(require("./Bidirectional")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } \ No newline at end of file diff --git a/lib/local-path.js b/lib/local-path.js deleted file mode 100644 index 6bcceb05b0..0000000000 --- a/lib/local-path.js +++ /dev/null @@ -1,13 +0,0 @@ -const path = require('path') - -module.exports = { - isLocalPath (templatePath) { - return /^[./]|(^[a-zA-Z]:)/.test(templatePath) - }, - - getTemplatePath (templatePath) { - return path.isAbsolute(templatePath) - ? templatePath - : path.normalize(path.join(process.cwd(), templatePath)) - } -} diff --git a/lib/logger.js b/lib/logger.js deleted file mode 100644 index 31969d4251..0000000000 --- a/lib/logger.js +++ /dev/null @@ -1,44 +0,0 @@ -const chalk = require('chalk') -const format = require('util').format - -/** - * Prefix. - */ - -const prefix = ' vue-cli' -const sep = chalk.gray('·') - -/** - * Log a `message` to the console. - * - * @param {String} message - */ - -exports.log = function (...args) { - const msg = format.apply(format, args) - console.log(chalk.white(prefix), sep, msg) -} - -/** - * Log an error `message` to the console and exit. - * - * @param {String} message - */ - -exports.fatal = function (...args) { - if (args[0] instanceof Error) args[0] = args[0].message.trim() - const msg = format.apply(format, args) - console.error(chalk.red(prefix), sep, msg) - process.exit(1) -} - -/** - * Log a success `message` to the console and exit. - * - * @param {String} message - */ - -exports.success = function (...args) { - const msg = format.apply(format, args) - console.log(chalk.white(prefix), sep, msg) -} diff --git a/lib/options.js b/lib/options.js deleted file mode 100644 index a165366740..0000000000 --- a/lib/options.js +++ /dev/null @@ -1,89 +0,0 @@ -const path = require('path') -const metadata = require('read-metadata') -const exists = require('fs').existsSync -const getGitUser = require('./git-user') -const validateName = require('validate-npm-package-name') - -/** - * Read prompts metadata. - * - * @param {String} dir - * @return {Object} - */ - -module.exports = function options (name, dir) { - const opts = getMetadata(dir) - - setDefault(opts, 'name', name) - setValidateName(opts) - - const author = getGitUser() - if (author) { - setDefault(opts, 'author', author) - } - - return opts -} - -/** - * Gets the metadata from either a meta.json or meta.js file. - * - * @param {String} dir - * @return {Object} - */ - -function getMetadata (dir) { - const json = path.join(dir, 'meta.json') - const js = path.join(dir, 'meta.js') - let opts = {} - - if (exists(json)) { - opts = metadata.sync(json) - } else if (exists(js)) { - const req = require(path.resolve(js)) - if (req !== Object(req)) { - throw new Error('meta.js needs to expose an object') - } - opts = req - } - - return opts -} - -/** - * Set the default value for a prompt question - * - * @param {Object} opts - * @param {String} key - * @param {String} val - */ - -function setDefault (opts, key, val) { - if (opts.schema) { - opts.prompts = opts.schema - delete opts.schema - } - const prompts = opts.prompts || (opts.prompts = {}) - if (!prompts[key] || typeof prompts[key] !== 'object') { - prompts[key] = { - 'type': 'string', - 'default': val - } - } else { - prompts[key]['default'] = val - } -} - -function setValidateName (opts) { - const name = opts.prompts.name - const customValidate = name.validate - name.validate = name => { - const its = validateName(name) - if (!its.validForNewPackages) { - const errors = (its.errors || []).concat(its.warnings || []) - return 'Sorry, ' + errors.join(' and ') + '.' - } - if (typeof customValidate === 'function') return customValidate(name) - return true - } -} diff --git a/lib/proto.js b/lib/proto.js new file mode 100644 index 0000000000..7ea63640c3 --- /dev/null +++ b/lib/proto.js @@ -0,0 +1,352 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = exports.Model = exports.Weights = void 0; + +var $protobuf = _interopRequireWildcard(require("protobufjs/minimal")); + +function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } } + +const $Reader = $protobuf.Reader, + $Writer = $protobuf.Writer, + $util = $protobuf.util; +const $root = $protobuf.roots["default"] || ($protobuf.roots["default"] = {}); +exports.default = $root; + +const Weights = $root.Weights = (() => { + function Weights(properties) { + this.shape = []; + if (properties) for (let keys = Object.keys(properties), i = 0; i < keys.length; ++i) if (properties[keys[i]] != null) this[keys[i]] = properties[keys[i]]; + } + + Weights.prototype.layerName = ""; + Weights.prototype.weightName = ""; + Weights.prototype.shape = $util.emptyArray; + Weights.prototype.type = ""; + Weights.prototype.data = $util.newBuffer([]); + Weights.prototype.quantizeMin = 0; + Weights.prototype.quantizeMax = 0; + + Weights.create = function create(properties) { + return new Weights(properties); + }; + + Weights.encode = function encode(message, writer) { + if (!writer) writer = $Writer.create(); + if (message.layerName != null && message.hasOwnProperty("layerName")) writer.uint32(10).string(message.layerName); + if (message.weightName != null && message.hasOwnProperty("weightName")) writer.uint32(18).string(message.weightName); + + if (message.shape != null && message.shape.length) { + writer.uint32(26).fork(); + + for (let i = 0; i < message.shape.length; ++i) writer.uint32(message.shape[i]); + + writer.ldelim(); + } + + if (message.type != null && message.hasOwnProperty("type")) writer.uint32(34).string(message.type); + if (message.data != null && message.hasOwnProperty("data")) writer.uint32(42).bytes(message.data); + if (message.quantizeMin != null && message.hasOwnProperty("quantizeMin")) writer.uint32(53).float(message.quantizeMin); + if (message.quantizeMax != null && message.hasOwnProperty("quantizeMax")) writer.uint32(61).float(message.quantizeMax); + return writer; + }; + + Weights.encodeDelimited = function encodeDelimited(message, writer) { + return this.encode(message, writer).ldelim(); + }; + + Weights.decode = function decode(reader, length) { + if (!(reader instanceof $Reader)) reader = $Reader.create(reader); + let end = length === undefined ? reader.len : reader.pos + length, + message = new $root.Weights(); + + while (reader.pos < end) { + let tag = reader.uint32(); + + switch (tag >>> 3) { + case 1: + message.layerName = reader.string(); + break; + + case 2: + message.weightName = reader.string(); + break; + + case 3: + if (!(message.shape && message.shape.length)) message.shape = []; + + if ((tag & 7) === 2) { + let end2 = reader.uint32() + reader.pos; + + while (reader.pos < end2) message.shape.push(reader.uint32()); + } else message.shape.push(reader.uint32()); + + break; + + case 4: + message.type = reader.string(); + break; + + case 5: + message.data = reader.bytes(); + break; + + case 6: + message.quantizeMin = reader.float(); + break; + + case 7: + message.quantizeMax = reader.float(); + break; + + default: + reader.skipType(tag & 7); + break; + } + } + + return message; + }; + + Weights.decodeDelimited = function decodeDelimited(reader) { + if (!(reader instanceof $Reader)) reader = new $Reader(reader); + return this.decode(reader, reader.uint32()); + }; + + Weights.verify = function verify(message) { + if (typeof message !== "object" || message === null) return "object expected"; + if (message.layerName != null && message.hasOwnProperty("layerName")) if (!$util.isString(message.layerName)) return "layerName: string expected"; + if (message.weightName != null && message.hasOwnProperty("weightName")) if (!$util.isString(message.weightName)) return "weightName: string expected"; + + if (message.shape != null && message.hasOwnProperty("shape")) { + if (!Array.isArray(message.shape)) return "shape: array expected"; + + for (let i = 0; i < message.shape.length; ++i) if (!$util.isInteger(message.shape[i])) return "shape: integer[] expected"; + } + + if (message.type != null && message.hasOwnProperty("type")) if (!$util.isString(message.type)) return "type: string expected"; + if (message.data != null && message.hasOwnProperty("data")) if (!(message.data && typeof message.data.length === "number" || $util.isString(message.data))) return "data: buffer expected"; + if (message.quantizeMin != null && message.hasOwnProperty("quantizeMin")) if (typeof message.quantizeMin !== "number") return "quantizeMin: number expected"; + if (message.quantizeMax != null && message.hasOwnProperty("quantizeMax")) if (typeof message.quantizeMax !== "number") return "quantizeMax: number expected"; + return null; + }; + + Weights.fromObject = function fromObject(object) { + if (object instanceof $root.Weights) return object; + let message = new $root.Weights(); + if (object.layerName != null) message.layerName = String(object.layerName); + if (object.weightName != null) message.weightName = String(object.weightName); + + if (object.shape) { + if (!Array.isArray(object.shape)) throw TypeError(".Weights.shape: array expected"); + message.shape = []; + + for (let i = 0; i < object.shape.length; ++i) message.shape[i] = object.shape[i] >>> 0; + } + + if (object.type != null) message.type = String(object.type); + if (object.data != null) if (typeof object.data === "string") $util.base64.decode(object.data, message.data = $util.newBuffer($util.base64.length(object.data)), 0);else if (object.data.length) message.data = object.data; + if (object.quantizeMin != null) message.quantizeMin = Number(object.quantizeMin); + if (object.quantizeMax != null) message.quantizeMax = Number(object.quantizeMax); + return message; + }; + + Weights.toObject = function toObject(message, options) { + if (!options) options = {}; + let object = {}; + if (options.arrays || options.defaults) object.shape = []; + + if (options.defaults) { + object.layerName = ""; + object.weightName = ""; + object.type = ""; + object.data = options.bytes === String ? "" : []; + object.quantizeMin = 0; + object.quantizeMax = 0; + } + + if (message.layerName != null && message.hasOwnProperty("layerName")) object.layerName = message.layerName; + if (message.weightName != null && message.hasOwnProperty("weightName")) object.weightName = message.weightName; + + if (message.shape && message.shape.length) { + object.shape = []; + + for (let j = 0; j < message.shape.length; ++j) object.shape[j] = message.shape[j]; + } + + if (message.type != null && message.hasOwnProperty("type")) object.type = message.type; + if (message.data != null && message.hasOwnProperty("data")) object.data = options.bytes === String ? $util.base64.encode(message.data, 0, message.data.length) : options.bytes === Array ? Array.prototype.slice.call(message.data) : message.data; + if (message.quantizeMin != null && message.hasOwnProperty("quantizeMin")) object.quantizeMin = options.json && !isFinite(message.quantizeMin) ? String(message.quantizeMin) : message.quantizeMin; + if (message.quantizeMax != null && message.hasOwnProperty("quantizeMax")) object.quantizeMax = options.json && !isFinite(message.quantizeMax) ? String(message.quantizeMax) : message.quantizeMax; + return object; + }; + + Weights.prototype.toJSON = function toJSON() { + return this.constructor.toObject(this, $protobuf.util.toJSONOptions); + }; + + return Weights; +})(); + +exports.Weights = Weights; + +const Model = $root.Model = (() => { + function Model(properties) { + this.modelWeights = []; + if (properties) for (let keys = Object.keys(properties), i = 0; i < keys.length; ++i) if (properties[keys[i]] != null) this[keys[i]] = properties[keys[i]]; + } + + Model.prototype.id = ""; + Model.prototype.name = ""; + Model.prototype.kerasVersion = ""; + Model.prototype.backend = ""; + Model.prototype.modelConfig = ""; + Model.prototype.modelWeights = $util.emptyArray; + + Model.create = function create(properties) { + return new Model(properties); + }; + + Model.encode = function encode(message, writer) { + if (!writer) writer = $Writer.create(); + if (message.id != null && message.hasOwnProperty("id")) writer.uint32(10).string(message.id); + if (message.name != null && message.hasOwnProperty("name")) writer.uint32(18).string(message.name); + if (message.kerasVersion != null && message.hasOwnProperty("kerasVersion")) writer.uint32(26).string(message.kerasVersion); + if (message.backend != null && message.hasOwnProperty("backend")) writer.uint32(34).string(message.backend); + if (message.modelConfig != null && message.hasOwnProperty("modelConfig")) writer.uint32(42).string(message.modelConfig); + if (message.modelWeights != null && message.modelWeights.length) for (let i = 0; i < message.modelWeights.length; ++i) $root.Weights.encode(message.modelWeights[i], writer.uint32(50).fork()).ldelim(); + return writer; + }; + + Model.encodeDelimited = function encodeDelimited(message, writer) { + return this.encode(message, writer).ldelim(); + }; + + Model.decode = function decode(reader, length) { + if (!(reader instanceof $Reader)) reader = $Reader.create(reader); + let end = length === undefined ? reader.len : reader.pos + length, + message = new $root.Model(); + + while (reader.pos < end) { + let tag = reader.uint32(); + + switch (tag >>> 3) { + case 1: + message.id = reader.string(); + break; + + case 2: + message.name = reader.string(); + break; + + case 3: + message.kerasVersion = reader.string(); + break; + + case 4: + message.backend = reader.string(); + break; + + case 5: + message.modelConfig = reader.string(); + break; + + case 6: + if (!(message.modelWeights && message.modelWeights.length)) message.modelWeights = []; + message.modelWeights.push($root.Weights.decode(reader, reader.uint32())); + break; + + default: + reader.skipType(tag & 7); + break; + } + } + + return message; + }; + + Model.decodeDelimited = function decodeDelimited(reader) { + if (!(reader instanceof $Reader)) reader = new $Reader(reader); + return this.decode(reader, reader.uint32()); + }; + + Model.verify = function verify(message) { + if (typeof message !== "object" || message === null) return "object expected"; + if (message.id != null && message.hasOwnProperty("id")) if (!$util.isString(message.id)) return "id: string expected"; + if (message.name != null && message.hasOwnProperty("name")) if (!$util.isString(message.name)) return "name: string expected"; + if (message.kerasVersion != null && message.hasOwnProperty("kerasVersion")) if (!$util.isString(message.kerasVersion)) return "kerasVersion: string expected"; + if (message.backend != null && message.hasOwnProperty("backend")) if (!$util.isString(message.backend)) return "backend: string expected"; + if (message.modelConfig != null && message.hasOwnProperty("modelConfig")) if (!$util.isString(message.modelConfig)) return "modelConfig: string expected"; + + if (message.modelWeights != null && message.hasOwnProperty("modelWeights")) { + if (!Array.isArray(message.modelWeights)) return "modelWeights: array expected"; + + for (let i = 0; i < message.modelWeights.length; ++i) { + let error = $root.Weights.verify(message.modelWeights[i]); + if (error) return "modelWeights." + error; + } + } + + return null; + }; + + Model.fromObject = function fromObject(object) { + if (object instanceof $root.Model) return object; + let message = new $root.Model(); + if (object.id != null) message.id = String(object.id); + if (object.name != null) message.name = String(object.name); + if (object.kerasVersion != null) message.kerasVersion = String(object.kerasVersion); + if (object.backend != null) message.backend = String(object.backend); + if (object.modelConfig != null) message.modelConfig = String(object.modelConfig); + + if (object.modelWeights) { + if (!Array.isArray(object.modelWeights)) throw TypeError(".Model.modelWeights: array expected"); + message.modelWeights = []; + + for (let i = 0; i < object.modelWeights.length; ++i) { + if (typeof object.modelWeights[i] !== "object") throw TypeError(".Model.modelWeights: object expected"); + message.modelWeights[i] = $root.Weights.fromObject(object.modelWeights[i]); + } + } + + return message; + }; + + Model.toObject = function toObject(message, options) { + if (!options) options = {}; + let object = {}; + if (options.arrays || options.defaults) object.modelWeights = []; + + if (options.defaults) { + object.id = ""; + object.name = ""; + object.kerasVersion = ""; + object.backend = ""; + object.modelConfig = ""; + } + + if (message.id != null && message.hasOwnProperty("id")) object.id = message.id; + if (message.name != null && message.hasOwnProperty("name")) object.name = message.name; + if (message.kerasVersion != null && message.hasOwnProperty("kerasVersion")) object.kerasVersion = message.kerasVersion; + if (message.backend != null && message.hasOwnProperty("backend")) object.backend = message.backend; + if (message.modelConfig != null && message.hasOwnProperty("modelConfig")) object.modelConfig = message.modelConfig; + + if (message.modelWeights && message.modelWeights.length) { + object.modelWeights = []; + + for (let j = 0; j < message.modelWeights.length; ++j) object.modelWeights[j] = $root.Weights.toObject(message.modelWeights[j], options); + } + + return object; + }; + + Model.prototype.toJSON = function toJSON() { + return this.constructor.toObject(this, $protobuf.util.toJSONOptions); + }; + + return Model; +})(); + +exports.Model = Model; \ No newline at end of file diff --git a/lib/utils/tensorUtils.js b/lib/utils/tensorUtils.js new file mode 100644 index 0000000000..b2d81ffb1b --- /dev/null +++ b/lib/utils/tensorUtils.js @@ -0,0 +1,89 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.checkShape = checkShape; +exports.data3DLayoutForGL = data3DLayoutForGL; +exports.createIndicesFor2DReshaped = createIndicesFor2DReshaped; + +var _range2 = _interopRequireDefault(require("lodash/range")); + +var _ndarray = _interopRequireDefault(require("ndarray")); + +var _ndarrayOps = _interopRequireDefault(require("ndarray-ops")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +function checkShape(data, shape) { + if (data.length && shape.length && data.length !== shape.reduce((a, b) => a * b, 1)) { + throw new Error('[Tensor] specified shape incompatible with data.'); + } +} + +function data3DLayoutForGL(typedarrayConstructor, arr, shape) { + const data = new typedarrayConstructor(arr.data.length); + const slice = (0, _ndarray.default)(new typedarrayConstructor(shape[0] * shape[1]), [shape[0], shape[1]]); + let offset = 0; + + for (let i = 0; i < shape[2]; i++) { + _ndarrayOps.default.assign(slice, arr.pick(null, null, i)); + + data.set(slice.data, offset); + offset += shape[0] * shape[1]; + } + + return data; +} + +function createIndicesFor2DReshaped(shape, square = false, axis = -1) { + const size = shape.reduce((a, b) => a * b, 1); + const indicesArr = (0, _ndarray.default)(new Int32Array(size), shape); + + if (square) { + const squareDim = Math.ceil(Math.sqrt(size)); + const indicesRowArrReshaped = (0, _ndarray.default)(new Int32Array(squareDim ** 2), [squareDim, squareDim]); + const indicesColArrReshaped = (0, _ndarray.default)(new Int32Array(squareDim ** 2), [squareDim, squareDim]); + const indicesArrReshaped = (0, _ndarray.default)(new Int32Array(squareDim ** 2), [squareDim, squareDim]); + + for (let i = 0; i < squareDim; i++) { + _ndarrayOps.default.assigns(indicesRowArrReshaped.pick(i, null), i); + } + + for (let j = 0; j < squareDim; j++) { + _ndarrayOps.default.assigns(indicesColArrReshaped.pick(null, j), j); + } + + _ndarrayOps.default.muls(indicesArrReshaped, indicesRowArrReshaped, squareDim); + + _ndarrayOps.default.addeq(indicesArrReshaped, indicesColArrReshaped); + + indicesArr.data.set(indicesArrReshaped.data.subarray(0, indicesArr.size)); + } else { + if (axis < 0) { + axis = shape.length + axis; + } + + const axisSize = shape[axis]; + const indicesRowArr = (0, _ndarray.default)(new Int32Array(size), shape); + const indicesColArr = (0, _ndarray.default)(new Int32Array(size), shape); + const otherAxes = [...shape.slice(0, axis), ...shape.slice(axis + 1)]; + const otherAxesSize = otherAxes.reduce((a, b) => a * b, 1); + const indicesRowArrSlice = (0, _ndarray.default)(new Int32Array((0, _range2.default)(otherAxesSize)), otherAxes); + const axisSlices = Array(shape.length).fill(null); + + for (let n = 0; n < axisSize; n++) { + axisSlices[axis] = n; + + _ndarrayOps.default.assign(indicesRowArr.pick(...axisSlices), indicesRowArrSlice); + + _ndarrayOps.default.assigns(indicesColArr.pick(...axisSlices), n); + } + + _ndarrayOps.default.muls(indicesArr, indicesRowArr, axisSize); + + _ndarrayOps.default.addeq(indicesArr, indicesColArr); + } + + return indicesArr; +} \ No newline at end of file diff --git a/lib/utils/testUtils.js b/lib/utils/testUtils.js new file mode 100644 index 0000000000..36e30b5d69 --- /dev/null +++ b/lib/utils/testUtils.js @@ -0,0 +1,35 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.approxEquals = approxEquals; + +var _isFinite2 = _interopRequireDefault(require("lodash/isFinite")); + +var _flattenDeep2 = _interopRequireDefault(require("lodash/flattenDeep")); + +var _ndarrayUnpack = _interopRequireDefault(require("ndarray-unpack")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +function approxEquals(ndarrayOut, dataExpected, tol = 0.0001) { + const a = (0, _flattenDeep2.default)((0, _ndarrayUnpack.default)(ndarrayOut)); + const b = dataExpected; + + if (a.length !== b.length) { + return false; + } + + for (let i = 0; i < a.length; i++) { + if (!(0, _isFinite2.default)(a[i])) { + return false; + } + + if (a[i] < b[i] - tol || a[i] > b[i] + tol) { + return false; + } + } + + return true; +} \ No newline at end of file diff --git a/lib/visualizations/CAM.js b/lib/visualizations/CAM.js new file mode 100644 index 0000000000..893ea2f6aa --- /dev/null +++ b/lib/visualizations/CAM.js @@ -0,0 +1,172 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = void 0; + +var _Tensor = _interopRequireDefault(require("../Tensor")); + +var _WebGL = require("../WebGL2"); + +var _ndarrayOps = _interopRequireDefault(require("ndarray-ops")); + +var _ndarrayBlasLevel = require("ndarray-blas-level2"); + +var _ndarrayGemm = _interopRequireDefault(require("ndarray-gemm")); + +var _createGLSLProgram = _interopRequireDefault(require("../webgl/dynamic/createGLSLProgram")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +class CAM { + constructor(attrs = {}) { + this.modelLayersMap = attrs.modelLayersMap; + this.gpu = attrs.gpu; + + if (!this.modelLayersMap) { + throw new Error(`[CAM] modelLayersMap is required`); + } + } + + initialize() { + this.modelLayersMap.forEach(layer => { + if (layer.layerClass === 'GlobalAveragePooling2D') { + this.enabled = true; + this.poolLayer = layer; + } + }); + + if (this.enabled && !this.data) { + this.featureMaps = this.modelLayersMap.get(this.poolLayer.inbound[0]).output; + let weightsFound = false; + let finalLayerReached = false; + let traversingLayer = this.poolLayer; + + while (!weightsFound && !finalLayerReached) { + traversingLayer = this.modelLayersMap.get(traversingLayer.outbound[0]); + + if (traversingLayer.weights['kernel']) { + this.weights = traversingLayer.weights['kernel']; + weightsFound = true; + } else if (!traversingLayer.outbound.length) { + this.weights = this.poolLayer.output; + finalLayerReached = true; + } + } + + if (this.featureMaps.is2DReshaped) { + this.inputShape = this.featureMaps.originalShape.slice(0, 2); + } else { + this.inputShape = this.featureMaps.tensor.shape.slice(0, 2); + } + + if (this.weights.tensor.shape.length === 1) { + this.shape = this.inputShape; + } else { + const numOutputClasses = this.weights.tensor.shape[1]; + this.shape = [...this.inputShape, numOutputClasses]; + } + + this.data = new Float32Array(this.shape.reduce((a, b) => a * b, 1)); + } + } + + update() { + if (!this.enabled) return; + this.featureMaps = this.modelLayersMap.get(this.poolLayer.inbound[0]).output; + + if (this.gpu) { + this._updateGPU(); + } else { + this._updateCPU(); + } + + const outputMin = _ndarrayOps.default.inf(this.output.tensor); + + const outputMax = _ndarrayOps.default.sup(this.output.tensor); + + _ndarrayOps.default.divseq(_ndarrayOps.default.subseq(this.output.tensor, outputMin), outputMax - outputMin); + + this.data = this.output.tensor.data; + } + + _updateCPU() { + if (!this.featureMaps.is2DReshaped) { + this.featureMaps.reshapeTo2D(); + } + + if (this.weights.tensor.shape.length === 1) { + if (!this.output) { + this.output = new _Tensor.default([], this.shape); + } + + const matVec = new _Tensor.default([], [this.shape[0] * this.shape[1]]); + (0, _ndarrayBlasLevel.gemv)(1, this.featureMaps.tensor, this.weights.tensor, 1, matVec.tensor); + this.output.replaceTensorData(matVec.tensor.data); + } else { + if (!this.output) { + this.output = new _Tensor.default([], this.shape); + } + + this.output.reshapeTo2D(); + (0, _ndarrayGemm.default)(this.output.tensor, this.featureMaps.tensor, this.weights.tensor, 1, 1); + this.output.reshapeFrom2D(); + } + + _ndarrayOps.default.maxseq(this.output.tensor, 0); + + if (this.featureMaps.is2DReshaped) { + this.featureMaps.reshapeFrom2D(); + } + } + + _updateGPU() { + if (!this.output) { + this.output = new _Tensor.default([], this.shape); + } + + const isWeights1D = this.weights.is1D; + + if (!this.output.glTexture && isWeights1D) { + this.output.createGLTexture({ + type: '2d', + format: 'float' + }); + } else { + this.output.reshapeTo2D(); + this.output.createGLTexture({ + type: '2d', + format: 'float' + }); + } + + const numFeatures = isWeights1D ? this.weights.glTextureShape[1] : this.weights.glTextureShape[0]; + + if (!this.program) { + const programSource = (0, _createGLSLProgram.default)('cam', this.output.glTextureShape, numFeatures, isWeights1D); + this.program = _WebGL.webgl2.compileProgram(programSource); + } + + _WebGL.webgl2.runProgram({ + program: this.program, + output: this.output, + inputs: [{ + input: this.featureMaps, + name: 'featureMaps' + }, { + input: this.weights, + name: 'weights' + }] + }); + + this.output.transferFromGLTexture(); + + if (this.output.is2DReshaped) { + this.output.reshapeFrom2D(); + } + } + +} + +exports.default = CAM; \ No newline at end of file diff --git a/lib/visualizations/index.js b/lib/visualizations/index.js new file mode 100644 index 0000000000..541e2e55a7 --- /dev/null +++ b/lib/visualizations/index.js @@ -0,0 +1,15 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +Object.defineProperty(exports, "CAM", { + enumerable: true, + get: function () { + return _CAM.default; + } +}); + +var _CAM = _interopRequireDefault(require("./CAM")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } \ No newline at end of file diff --git a/lib/warnings.js b/lib/warnings.js deleted file mode 100644 index 329b013fc1..0000000000 --- a/lib/warnings.js +++ /dev/null @@ -1,20 +0,0 @@ -const chalk = require('chalk') - -module.exports = { - v2SuffixTemplatesDeprecated (template, name) { - const initCommand = 'vue init ' + template.replace('-2.0', '') + ' ' + name - - console.log(chalk.red(' This template is deprecated, as the original template now uses Vue 2.0 by default.')) - console.log() - console.log(chalk.yellow(' Please use this command instead: ') + chalk.green(initCommand)) - console.log() - }, - v2BranchIsNowDefault (template, name) { - const vue1InitCommand = 'vue init ' + template + '#1.0' + ' ' + name - - console.log(chalk.green(' This will install Vue 2.x version of the template.')) - console.log() - console.log(chalk.yellow(' For Vue 1.x use: ') + chalk.green(vue1InitCommand)) - console.log() - } -} diff --git a/lib/webgl/dynamic/convolutional/conv2d.js b/lib/webgl/dynamic/convolutional/conv2d.js new file mode 100644 index 0000000000..764f64bb76 --- /dev/null +++ b/lib/webgl/dynamic/convolutional/conv2d.js @@ -0,0 +1,44 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = conv2d; + +function conv2d(outputShape, inputShape, indexMapShape, useBias, hasFragments) { + const addBias = useBias ? `sum += texelFetch(bias, ivec2(out_x, 0), 0).r;` : ''; + const adjustIndicesForFragments = hasFragments ? `int fragmentIndex = int(floor(float(rowIndex) / float(${inputShape[0]}))); + rowIndex = int(mod(float(rowIndex), float(${inputShape[0]}))); + colIndex += fragmentIndex * ${inputShape[1]};` : ''; + const source = `#version 300 es +precision highp float; +precision highp isampler2D; + +in vec2 outTex; +uniform sampler2D x; +uniform isampler2D indexMap; +uniform sampler2D kernel; +uniform sampler2D bias; +out vec4 outColor; + +void main() { + int out_y = int(float(${outputShape[0]}) * outTex.y); + int out_x = int(float(${outputShape[1]}) * outTex.x); + + float sum = 0.; + for (int i = 0; i < ${indexMapShape[1]}; ++i) { + int index = texelFetch(indexMap, ivec2(i, out_y), 0).r; + if (index != -1) { + int rowIndex = int(floor(float(index) / float(${inputShape[1]}))); + int colIndex = int(mod(float(index), float(${inputShape[1]}))); + ${adjustIndicesForFragments} + sum += texelFetch(x, ivec2(colIndex, rowIndex), 0).r * texelFetch(kernel, ivec2(out_x, i), 0).r; + } + } + + ${addBias} + outColor = vec4(sum); +} +`; + return source; +} \ No newline at end of file diff --git a/lib/webgl/dynamic/convolutional/conv2dTranspose.js b/lib/webgl/dynamic/convolutional/conv2dTranspose.js new file mode 100644 index 0000000000..fc9873be9a --- /dev/null +++ b/lib/webgl/dynamic/convolutional/conv2dTranspose.js @@ -0,0 +1,43 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = conv2dTranspose; + +function conv2dTranspose(outputShape, inputShape, indexMapShape, useBias, hasFragments) { + const addBias = useBias ? `sum += texelFetch(bias, ivec2(out_x, 0), 0).r;` : ''; + const adjustIndicesForFragments = hasFragments ? `int fragmentIndex = int(floor(float(rowIndex) / float(${inputShape[0]}))); + rowIndex = int(mod(float(rowIndex), float(${inputShape[0]}))); + colIndex += fragmentIndex * ${inputShape[1]};` : ''; + const source = `#version 300 es +precision highp float; +precision highp isampler2D; + +in vec2 outTex; +uniform sampler2D matMulResult; +uniform isampler2D indexMap; +uniform sampler2D bias; +out vec4 outColor; + +void main() { + int out_y = int(float(${outputShape[0]}) * outTex.y); + int out_x = int(float(${outputShape[1]}) * outTex.x); + + float sum = 0.; + for (int n = 0; n < ${indexMapShape[1]}; ++n) { + int index = texelFetch(indexMap, ivec2(n, out_y), 0).r; + if (index != -1) { + int rowIndex = int(floor(float(index) / float(${inputShape[1]}))); + int colIndex = int(mod(float(index), float(${inputShape[1]}))); + ${adjustIndicesForFragments} + sum += texelFetch(matMulResult, ivec2(colIndex + out_x, rowIndex), 0).r; + } + } + + ${addBias} + outColor = vec4(sum); +} +`; + return source; +} \ No newline at end of file diff --git a/lib/webgl/dynamic/createGLSLProgram.js b/lib/webgl/dynamic/createGLSLProgram.js new file mode 100644 index 0000000000..8273e5a7e5 --- /dev/null +++ b/lib/webgl/dynamic/createGLSLProgram.js @@ -0,0 +1,65 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = createGLSLProgram; + +var _add = _interopRequireDefault(require("./merge/add")); + +var _average = _interopRequireDefault(require("./merge/average")); + +var _concatenate = _interopRequireDefault(require("./merge/concatenate")); + +var _maximum = _interopRequireDefault(require("./merge/maximum")); + +var _minimum = _interopRequireDefault(require("./merge/minimum")); + +var _multiply = _interopRequireDefault(require("./merge/multiply")); + +var _subtract = _interopRequireDefault(require("./merge/subtract")); + +var _conv2d = _interopRequireDefault(require("./convolutional/conv2d")); + +var _conv2dTranspose = _interopRequireDefault(require("./convolutional/conv2dTranspose")); + +var _cam = _interopRequireDefault(require("./visualizations/cam")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +function createGLSLProgram(program, ...args) { + switch (program) { + case 'add': + return (0, _add.default)(...args); + + case 'average': + return (0, _average.default)(...args); + + case 'concatenate': + return (0, _concatenate.default)(...args); + + case 'maximum': + return (0, _maximum.default)(...args); + + case 'minimum': + return (0, _minimum.default)(...args); + + case 'multiply': + return (0, _multiply.default)(...args); + + case 'subtract': + return (0, _subtract.default)(...args); + + case 'conv2d': + return (0, _conv2d.default)(...args); + + case 'conv2dTranspose': + return (0, _conv2dTranspose.default)(...args); + + case 'cam': + return (0, _cam.default)(...args); + + default: + throw new Error('GLSL program not found'); + } +} \ No newline at end of file diff --git a/lib/webgl/dynamic/merge/add.js b/lib/webgl/dynamic/merge/add.js new file mode 100644 index 0000000000..2269359973 --- /dev/null +++ b/lib/webgl/dynamic/merge/add.js @@ -0,0 +1,28 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = add; + +var _range2 = _interopRequireDefault(require("lodash/range")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +function add(numInputs, shape) { + const source = `#version 300 es +precision highp float; + +in vec2 outTex; +uniform sampler2D inputs[${numInputs}]; +out vec4 outColor; + +void main() { + int out_y = int(float(${shape[0]}) * outTex.y); + int out_x = int(float(${shape[1]}) * outTex.x); + + outColor = vec4(${(0, _range2.default)(numInputs).map(i => `texelFetch(inputs[${i}], ivec2(out_x, out_y), 0).r`).join(' + ')}); +} +`; + return source; +} \ No newline at end of file diff --git a/lib/webgl/dynamic/merge/average.js b/lib/webgl/dynamic/merge/average.js new file mode 100644 index 0000000000..0a96cf805c --- /dev/null +++ b/lib/webgl/dynamic/merge/average.js @@ -0,0 +1,28 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = average; + +var _range2 = _interopRequireDefault(require("lodash/range")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +function average(numInputs, shape) { + const source = `#version 300 es +precision highp float; + +in vec2 outTex; +uniform sampler2D inputs[${numInputs}]; +out vec4 outColor; + +void main() { + int out_y = int(float(${shape[0]}) * outTex.y); + int out_x = int(float(${shape[1]}) * outTex.x); + + outColor = vec4((${(0, _range2.default)(numInputs).map(i => `texelFetch(inputs[${i}], ivec2(out_x, out_y), 0).r`).join(' + ')}) / float(${numInputs})); +} +`; + return source; +} \ No newline at end of file diff --git a/lib/webgl/dynamic/merge/concatenate.js b/lib/webgl/dynamic/merge/concatenate.js new file mode 100644 index 0000000000..791572e061 --- /dev/null +++ b/lib/webgl/dynamic/merge/concatenate.js @@ -0,0 +1,67 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = concatenate; + +var _take2 = _interopRequireDefault(require("lodash/take")); + +var _sum2 = _interopRequireDefault(require("lodash/sum")); + +var _range2 = _interopRequireDefault(require("lodash/range")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +function concatenate(numInputs, inputShapes, outputShape, concatAxis) { + const dims = inputShapes.map(shape => shape[concatAxis]); + const offsets = (0, _range2.default)(numInputs + 1).map(i => (0, _sum2.default)((0, _take2.default)(dims, i))); + const outVar = concatAxis === 0 ? 'out_y' : 'out_x'; + let getOffset = ` + int n = 0; + int offset = 0; + if (${outVar} >= ${offsets[1]} && ${outVar} < ${offsets[2]}) { + n = 1; + offset = ${offsets[1]}; + }`; + + if (numInputs > 2) { + getOffset += `${(0, _range2.default)(2, numInputs).map(i => ` else if (${outVar} >= ${offsets[i]} && ${outVar} < ${offsets[i + 1]}) { + n = ${i}; + offset = ${offsets[i]}; + }`).join('')} +`; + } + + let outBlock = 'outColor = vec4(0.0);'; + + if (concatAxis === 0 || concatAxis === 1) { + const xCoord = i => `out_x${concatAxis === 1 ? ` - ${offsets[i]}` : ''}`; + + const yCoord = i => `out_y${concatAxis === 0 ? ` - ${offsets[i]}` : ''}`; + + outBlock = ` + if (n == 0) { + outColor = vec4(texelFetch(inputs[0], ivec2(out_x, out_y), 0).r); + }${(0, _range2.default)(1, numInputs).map(i => ` else if (n == ${i}) { + outColor = vec4(texelFetch(inputs[${i}], ivec2(${xCoord(i)}, ${yCoord(i)}), 0).r); + }`).join('')} +`; + } + + const source = `#version 300 es +precision highp float; + +in vec2 outTex; +uniform sampler2D inputs[${numInputs}]; +out vec4 outColor; + +void main() { + int out_y = int(float(${outputShape[0]}) * outTex.y); + int out_x = int(float(${outputShape[1]}) * outTex.x); +${getOffset} +${outBlock} +} +`; + return source; +} \ No newline at end of file diff --git a/lib/webgl/dynamic/merge/maximum.js b/lib/webgl/dynamic/merge/maximum.js new file mode 100644 index 0000000000..b6c70ab45c --- /dev/null +++ b/lib/webgl/dynamic/merge/maximum.js @@ -0,0 +1,29 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = maximum; + +function maximum(numInputs, shape) { + const source = `#version 300 es +precision highp float; + +in vec2 outTex; +uniform sampler2D inputs[${numInputs}]; +out vec4 outColor; + +void main() { + int out_y = int(float(${shape[0]}) * outTex.y); + int out_x = int(float(${shape[1]}) * outTex.x); + + float val = texelFetch(inputs[0], ivec2(out_x, out_y), 0).r; + for (int i = 1; i < ${numInputs}; i++) { + val = max(val, texelFetch(inputs[i], ivec2(out_x, out_y), 0).r); + } + + outColor = vec4(val); +} +`; + return source; +} \ No newline at end of file diff --git a/lib/webgl/dynamic/merge/minimum.js b/lib/webgl/dynamic/merge/minimum.js new file mode 100644 index 0000000000..b9c97e3005 --- /dev/null +++ b/lib/webgl/dynamic/merge/minimum.js @@ -0,0 +1,29 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = minimum; + +function minimum(numInputs, shape) { + const source = `#version 300 es +precision highp float; + +in vec2 outTex; +uniform sampler2D inputs[${numInputs}]; +out vec4 outColor; + +void main() { + int out_y = int(float(${shape[0]}) * outTex.y); + int out_x = int(float(${shape[1]}) * outTex.x); + + float val = texelFetch(inputs[0], ivec2(out_x, out_y), 0).r; + for (int i = 1; i < ${numInputs}; i++) { + val = min(val, texelFetch(inputs[i], ivec2(out_x, out_y), 0).r); + } + + outColor = vec4(val); +} +`; + return source; +} \ No newline at end of file diff --git a/lib/webgl/dynamic/merge/multiply.js b/lib/webgl/dynamic/merge/multiply.js new file mode 100644 index 0000000000..8a0b9e7cc5 --- /dev/null +++ b/lib/webgl/dynamic/merge/multiply.js @@ -0,0 +1,28 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = multiply; + +var _range2 = _interopRequireDefault(require("lodash/range")); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +function multiply(numInputs, shape) { + const source = `#version 300 es +precision highp float; + +in vec2 outTex; +uniform sampler2D inputs[${numInputs}]; +out vec4 outColor; + +void main() { + int out_y = int(float(${shape[0]}) * outTex.y); + int out_x = int(float(${shape[1]}) * outTex.x); + + outColor = vec4(${(0, _range2.default)(numInputs).map(i => `texelFetch(inputs[${i}], ivec2(out_x, out_y), 0).r`).join(' * ')}); +} +`; + return source; +} \ No newline at end of file diff --git a/lib/webgl/dynamic/merge/subtract.js b/lib/webgl/dynamic/merge/subtract.js new file mode 100644 index 0000000000..5c4b17395c --- /dev/null +++ b/lib/webgl/dynamic/merge/subtract.js @@ -0,0 +1,24 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = subtract; + +function subtract(numInputs, shape) { + const source = `#version 300 es +precision highp float; + +in vec2 outTex; +uniform sampler2D inputs[2]; +out vec4 outColor; + +void main() { + int out_y = int(float(${shape[0]}) * outTex.y); + int out_x = int(float(${shape[1]}) * outTex.x); + + outColor = vec4(texelFetch(inputs[0], ivec2(out_x, out_y), 0).r - texelFetch(inputs[1], ivec2(out_x, out_y), 0).r); +} +`; + return source; +} \ No newline at end of file diff --git a/lib/webgl/dynamic/visualizations/cam.js b/lib/webgl/dynamic/visualizations/cam.js new file mode 100644 index 0000000000..123cbb08a5 --- /dev/null +++ b/lib/webgl/dynamic/visualizations/cam.js @@ -0,0 +1,62 @@ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.default = cam; + +function cam(outputShape, numFeatures, weightsIs1D) { + let source; + + if (weightsIs1D) { + source = `#version 300 es +precision highp float; + +in vec2 outTex; +uniform sampler2D featureMaps; +uniform sampler2D weights; +out vec4 outColor; + +void main() { + int out_y = int(float(${outputShape[0]}) * outTex.y); + int out_x = int(float(${outputShape[1]}) * outTex.x); + + int featureMapsRow = out_x + ${outputShape[0]} * out_y; + + float sum = 0.; + for (int k = 0; k < ${numFeatures}; ++k) { + float f = texelFetch(featureMaps, ivec2(k, featureMapsRow), 0).r; + float w = texelFetch(weights, ivec2(k, 0), 0).r; + sum += f * w; + } + + outColor = vec4(max(sum, 0.0)); +} +`; + } else { + source = `#version 300 es +precision highp float; + +in vec2 outTex; +uniform sampler2D featureMaps; +uniform sampler2D weights; +out vec4 outColor; + +void main() { + int out_y = int(float(${outputShape[0]}) * outTex.y); + int out_x = int(float(${outputShape[1]}) * outTex.x); + + float sum = 0.; + for (int k = 0; k < ${numFeatures}; ++k) { + float f = texelFetch(featureMaps, ivec2(k, out_y), 0).r; + float w = texelFetch(weights, ivec2(out_x, k), 0).r; + sum += f * w; + } + + outColor = vec4(max(sum, 0.0)); +} +`; + } + + return source; +} \ No newline at end of file diff --git a/myproj/.babelrc b/myproj/.babelrc index 3419daeaef..9237a30ed3 100644 --- a/myproj/.babelrc +++ b/myproj/.babelrc @@ -3,9 +3,12 @@ ["env", { "modules": false }], - "stage-2" + // "stage-2" + {} + ], + "plugins": [ + "transform-runtime" ], - "plugins": ["transform-runtime"], "env": { "test": { "presets": ["env", "stage-2"], diff --git a/myproj/.eslintrc.js b/myproj/.eslintrc.js index bdc9487582..114106cc05 100644 --- a/myproj/.eslintrc.js +++ b/myproj/.eslintrc.js @@ -18,10 +18,16 @@ module.exports = { // add your custom rules here 'rules': { + // "indent": "off", + // "space-before-blocks": "off", + "spaced-comment" : "off", + + "space-before-function-paren" : "off", + // allow paren-less arrow functions 'arrow-parens': 0, // allow async-await diff --git a/myproj/build/webpack.base.conf.js b/myproj/build/webpack.base.conf.js index b69edc013a..fefd562b99 100644 --- a/myproj/build/webpack.base.conf.js +++ b/myproj/build/webpack.base.conf.js @@ -72,7 +72,14 @@ module.exports = { limit: 10000, name: utils.assetsPath('fonts/[name].[hash:7].[ext]') } + }, + { + test: /\.glsl$/, + loader: 'webpack-glsl-loader' } ] + }, + node: { + fs: 'empty' } } diff --git a/myproj/index.html b/myproj/index.html index aa1bd0a242..67b56eb4c8 100644 --- a/myproj/index.html +++ b/myproj/index.html @@ -7,6 +7,6 @@
- + diff --git a/myproj/package-lock.json b/myproj/package-lock.json index e2056f072d..55d08f1da2 100644 --- a/myproj/package-lock.json +++ b/myproj/package-lock.json @@ -4,30 +4,93 @@ "lockfileVersion": 1, "requires": true, "dependencies": { - "@types/strip-bom": { - "version": "3.0.0", - "resolved": "https://registry.npmjs.org/@types/strip-bom/-/strip-bom-3.0.0.tgz", - "integrity": "sha1-FKjsOVbC6B7bdSB5CuzyHCkK69I=", - "dev": true + "@babel/polyfill": { + "version": "7.0.0-beta.32", + "resolved": "https://registry.npmjs.org/@babel/polyfill/-/polyfill-7.0.0-beta.32.tgz", + "integrity": "sha512-VhAfJkk1c4wgpfjG/OBxUlq8QEUqsKWhttJI4nO0OHX+gyC2+7AbePbBWxmCKIoZSPAujcySx07/SxXihK0yEA==", + "requires": { + "core-js": "2.5.1", + "regenerator-runtime": "0.11.0" + } }, - "@types/strip-json-comments": { - "version": "0.0.30", - "resolved": "https://registry.npmjs.org/@types/strip-json-comments/-/strip-json-comments-0.0.30.tgz", - "integrity": 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"https://registry.npmjs.org/@protobufjs/codegen/-/codegen-2.0.4.tgz", + "integrity": "sha512-YyFaikqM5sH0ziFZCN3xDC7zeGaB/d0IUb9CATugHWbd1FRFwWwt4ld4OYMPWu5a3Xe01mGAULCdqhMlPl29Jg==" + }, + "@protobufjs/eventemitter": { + "version": "1.1.0", + "resolved": "https://registry.npmjs.org/@protobufjs/eventemitter/-/eventemitter-1.1.0.tgz", + "integrity": "sha1-NVy8mLr61ZePntCV85diHx0Ga3A=" + }, + "@protobufjs/fetch": { + "version": "1.1.0", + "resolved": "https://registry.npmjs.org/@protobufjs/fetch/-/fetch-1.1.0.tgz", + "integrity": "sha1-upn7WYYUr2VwDBYZ/wbUVLDYTEU=", + "requires": { + "@protobufjs/aspromise": "1.1.2", + "@protobufjs/inquire": "1.1.0" + } + }, + "@protobufjs/float": { + "version": "1.0.2", + "resolved": "https://registry.npmjs.org/@protobufjs/float/-/float-1.0.2.tgz", + "integrity": "sha1-Xp4avctz/Ap8uLKR33jIy9l7h9E=" + }, + "@protobufjs/inquire": { + "version": "1.1.0", + "resolved": "https://registry.npmjs.org/@protobufjs/inquire/-/inquire-1.1.0.tgz", + "integrity": "sha1-/yAOPnzyQp4tyvwRQIKOjMY48Ik=" + }, + "@protobufjs/path": { + "version": "1.1.2", + "resolved": "https://registry.npmjs.org/@protobufjs/path/-/path-1.1.2.tgz", + "integrity": "sha1-bMKyDFya1q0NzP0hynZz2Nf79o0=" + }, + "@protobufjs/pool": { + "version": "1.1.0", + "resolved": "https://registry.npmjs.org/@protobufjs/pool/-/pool-1.1.0.tgz", + "integrity": "sha1-Cf0V8tbTq/qbZbw2ZQbWrXhG/1Q=" + }, + "@protobufjs/utf8": { + "version": "1.1.0", + "resolved": "https://registry.npmjs.org/@protobufjs/utf8/-/utf8-1.1.0.tgz", + "integrity": "sha1-p3c2C1s5oaLlEG+OhY8v0tBgxXA=" + }, + "@std/esm": { + "version": "0.16.0", + "resolved": "https://registry.npmjs.org/@std/esm/-/esm-0.16.0.tgz", + "integrity": "sha512-JokzOdnTmxUWJ81VWp0OuSR+VZGuvM9lmnefiPoeTwrOH/wworkRvwkXMpSuso0zYQ0LcbGUKLEdkoKwkYyohg==", "dev": true }, + "@types/events": { + "version": "1.1.0", + "resolved": "https://registry.npmjs.org/@types/events/-/events-1.1.0.tgz", + "integrity": 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"sha512-jG0u7c4Ly+3QkkW18V+NRDN+4bWHdln30NL1ZL2AvFZZmQe/BfopYCtghCKKVBUSetZ4QKcyA0pY6/4Gw8Pv8w==" }, "acorn-dynamic-import": { "version": "2.0.2", @@ -61,23 +123,6 @@ } } }, - "acorn-globals": { - "version": "3.1.0", - "resolved": "https://registry.npmjs.org/acorn-globals/-/acorn-globals-3.1.0.tgz", - "integrity": "sha1-/YJw9x+7SZawBPqIDuXUZXOnMb8=", - "dev": true, - "requires": { - "acorn": "4.0.13" - }, - "dependencies": { - "acorn": { - "version": "4.0.13", - "resolved": "https://registry.npmjs.org/acorn/-/acorn-4.0.13.tgz", - "integrity": "sha1-EFSVrlNh1pe9GVyCUZLhrX8lN4c=", - "dev": true - } - } - }, "acorn-jsx": { "version": "3.0.1", "resolved": "https://registry.npmjs.org/acorn-jsx/-/acorn-jsx-3.0.1.tgz", @@ -95,24 +140,6 @@ } } }, - "agent-base": { - "version": "2.1.1", - "resolved": "https://registry.npmjs.org/agent-base/-/agent-base-2.1.1.tgz", - "integrity": "sha1-1t4Q1a9hMtW9aSQn1G/FOFOQlMc=", - "dev": true, - "requires": { - "extend": "3.0.1", - "semver": "5.0.3" - }, - "dependencies": { - "semver": { - "version": "5.0.3", - "resolved": "https://registry.npmjs.org/semver/-/semver-5.0.3.tgz", - "integrity": "sha1-d0Zt5YnNXTyV8TiqeLxWmjy10no=", - "dev": true - } - } - }, "ajv": { "version": "5.5.0", "resolved": "https://registry.npmjs.org/ajv/-/ajv-5.5.0.tgz", @@ -126,16 +153,15 @@ } }, "ajv-keywords": { - "version": "1.5.1", - "resolved": "https://registry.npmjs.org/ajv-keywords/-/ajv-keywords-1.5.1.tgz", - "integrity": "sha1-MU3QpLM2j609/NxU7eYXG4htrzw=", + "version": "2.1.1", + "resolved": "https://registry.npmjs.org/ajv-keywords/-/ajv-keywords-2.1.1.tgz", + "integrity": "sha1-YXmX/F9gV2iUxDX5QNgZ4TW4B2I=", "dev": true }, "align-text": { "version": "0.1.4", "resolved": "https://registry.npmjs.org/align-text/-/align-text-0.1.4.tgz", "integrity": "sha1-DNkKVhCT810KmSVsIrcGlDP60Rc=", - "dev": true, "requires": { "kind-of": "3.2.2", "longest": "1.0.1", @@ -152,12 +178,12 @@ "version": "1.0.1", "resolved": "https://registry.npmjs.org/amdefine/-/amdefine-1.0.1.tgz", "integrity": "sha1-SlKCrBZHKek2Gbz9OtFR+BfOkfU=", - "dev": true + "optional": true }, "ansi-escapes": { - "version": "1.4.0", - "resolved": "https://registry.npmjs.org/ansi-escapes/-/ansi-escapes-1.4.0.tgz", - "integrity": "sha1-06ioOzGapneTZisT52HHkRQiMG4=", + "version": "3.0.0", + "resolved": "https://registry.npmjs.org/ansi-escapes/-/ansi-escapes-3.0.0.tgz", + "integrity": "sha512-O/klc27mWNUigtv0F8NJWbLF00OcegQalkqKURWdosW08YZKi4m6CnSUSvIZG1otNJbTWhN01Hhz389DW7mvDQ==", "dev": true }, "ansi-html": { @@ -191,15 +217,6 @@ "normalize-path": "2.1.1" } }, - "append-transform": { - "version": "0.4.0", - "resolved": "https://registry.npmjs.org/append-transform/-/append-transform-0.4.0.tgz", - "integrity": "sha1-126/jKlNJ24keja61EpLdKthGZE=", - "dev": true, - "requires": { - "default-require-extensions": "1.0.0" - } - }, "argparse": { "version": "1.0.9", "resolved": "https://registry.npmjs.org/argparse/-/argparse-1.0.9.tgz", @@ 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b/myproj/package.json @@ -5,7 +5,7 @@ "author": "Bruce Lao", "private": true, "scripts": { - "dev": "webpack-dev-server --inline --progress --config build/webpack.dev.conf.js", + "dev": "webpack-dev-server --inline --progress --config webpack.config.js", "start": "npm run dev", "unit": "jest --config test/unit/jest.conf.js --coverage", "e2e": "node test/e2e/runner.js", @@ -14,11 +14,25 @@ "build": "node build/build.js" }, "dependencies": { - "vue": "^2.5.2", - "vue-router": "^3.0.1" + "@babel/polyfill": "7.0.0-beta.32", + "axios": "^0.17.1", + "bluebird": "^3.5.1", + "cwise": "^1.0.10", + "lodash": "^4.17.4", + "ndarray": "^1.0.18", + "ndarray-blas-level2": "^1.1.0", + "ndarray-concat-rows": "^1.0.1", + "ndarray-gemm": "^1.0.0", + "ndarray-ops": "^1.2.2", + "ndarray-resample": "^1.0.1", + "ndarray-squeeze": "^1.0.2", + "ndarray-tile": "^1.0.3", + "ndarray-unpack": "^1.0.0", + "ndarray-unsqueeze": "^1.0.3", + "performance-now": "^2.1.0", + "protobufjs": "^6.8.1" }, "devDependencies": { - "autoprefixer": "^7.1.2", "babel-core": "^6.22.1", "babel-eslint": "^7.1.1", "babel-jest": "^21.0.2", @@ -29,47 +43,33 @@ "babel-preset-env": "^1.3.2", "babel-preset-stage-2": "^6.22.0", "babel-register": "^6.22.0", - "chalk": "^2.0.1", - "chromedriver": "^2.27.2", - "copy-webpack-plugin": "^4.0.1", - "cross-spawn": "^5.0.1", - "css-loader": "^0.28.0", - "eslint": "^3.19.0", + "blueimp-load-image": "^2.17.1", + "chroma-js": "^1.3.4", + "css-loader": "^0.28.7", + "eslint": "^4.12.0", "eslint-config-standard": "^10.2.1", "eslint-friendly-formatter": "^3.0.0", - "eslint-loader": "^1.7.1", - "eslint-plugin-html": "^3.0.0", + "eslint-loader": "^1.9.0", + "eslint-plugin-html": "^4.0.1", "eslint-plugin-import": "^2.7.0", "eslint-plugin-node": "^5.2.0", "eslint-plugin-promise": "^3.4.0", "eslint-plugin-standard": "^3.0.1", - "eventsource-polyfill": "^0.9.6", - "extract-text-webpack-plugin": "^3.0.0", - "file-loader": "^1.1.4", - "friendly-errors-webpack-plugin": "^1.6.1", - 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"^4.1.0" + "webpack-glsl-loader": "^1.0.1" }, "engines": { "node": ">= 4.0.0", diff --git a/myproj/postcss.config.js b/myproj/postcss.config.js new file mode 100644 index 0000000000..f2c68821a9 --- /dev/null +++ b/myproj/postcss.config.js @@ -0,0 +1,3 @@ +module.exports = { + plugins: [require('postcss-import')(), require('postcss-cssnext')()] +} diff --git a/myproj/src/App.vue b/myproj/src/App.vue deleted file mode 100644 index 35f32805fe..0000000000 --- a/myproj/src/App.vue +++ /dev/null @@ -1,24 +0,0 @@ - - - - - diff --git a/myproj/src/App2.vue b/myproj/src/App2.vue new file mode 100644 index 0000000000..1dc32e4794 --- /dev/null +++ b/myproj/src/App2.vue @@ -0,0 +1,54 @@ + + + + + diff --git a/myproj/src/assets/logo-V.png b/myproj/src/assets/logo-V.png new file mode 100644 index 0000000000000000000000000000000000000000..f3d2503fc2a44b5053b0837ebea6e87a2d339a43 GIT binary patch literal 6849 zcmaKRcUV(fvo}bjDT-7nLI_nlK}sT_69H+`qzVWDA|yaU?}j417wLi^B1KB1SLsC& 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