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# TensorFlow.js
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TensorFlow.js is an open-source hardware-accelerated JavaScript library for
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training and deploying machine learning models.
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> :warning: We recently released **TensorFlow.js 2.0**. If you have been using TensorFlow.js
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> via a script tag without specifying a version and see an error saying no backends
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> are found, then you should read our [release notes](https://github.com/tensorflow/tfjs/releases/tag/tfjs-v2.0.0)
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> for instructions on how to upgrade.
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**Develop ML in the Browser** <br/>
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Use flexible and intuitive APIs to build models from scratch using the low-level
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JavaScript linear algebra library or the high-level layers API.
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**Develop ML in Node.js** <br/>
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Execute native TensorFlow with the same TensorFlow.js API under the Node.js
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runtime.
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**Run Existing models** <br/>
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Use TensorFlow.js model converters to run pre-existing TensorFlow models right
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in the browser.
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**Retrain Existing models** <br/>
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Retrain pre-existing ML models using sensor data connected to the browser or
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other client-side data.
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## About this repo
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This repository contains the logic and scripts that combine
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several packages.
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APIs:
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- [TensorFlow.js Core](/tfjs-core),
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a flexible low-level API for neural networks and numerical computation.
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- [TensorFlow.js Layers](/tfjs-layers),
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a high-level API which implements functionality similar to
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[Keras](https://keras.io/).
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- [TensorFlow.js Data](/tfjs-data),
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a simple API to load and prepare data analogous to
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[tf.data](https://www.tensorflow.org/guide/datasets).
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- [TensorFlow.js Converter](/tfjs-converter),
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tools to import a TensorFlow SavedModel to TensorFlow.js
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- [TensorFlow.js Vis](/tfjs-vis),
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in-browser visualization for TensorFlow.js models
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- [TensorFlow.js AutoML](/tfjs-automl),
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Set of APIs to load and run models produced by
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[AutoML Edge](https://cloud.google.com/vision/automl/docs/edge-quickstart).
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Backends/Platforms:
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- [TensorFlow.js CPU Backend](/tfjs-backend-cpu), pure-JS backend for Node.js and the browser.
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- [TensorFlow.js WebGL Backend](/tfjs-backend-webgl), WebGL backend for the browser.
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- [TensorFlow.js WASM Backend](/tfjs-backend-wasm), WebAssembly backend for the browser.
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- [TensorFlow.js WebGPU](/tfjs-backend-webgpu), WebGPU backend for the browser.
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- [TensorFlow.js Node](/tfjs-node), Node.js platform via TensorFlow C++ adapter.
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- [TensorFlow.js React Native](/tfjs-react-native), React Native platform via expo-gl adapter.
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If you care about bundle size, you can import those packages individually.
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If you are looking for Node.js support, check out the [TensorFlow.js Node directory](/tfjs-node).
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## Examples
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Check out our
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[examples repository](https://github.com/tensorflow/tfjs-examples)
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and our [tutorials](https://js.tensorflow.org/tutorials/).
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## Gallery
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Be sure to check out [the gallery](GALLERY.md) of all projects related to TensorFlow.js.
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## Pre-trained models
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Be sure to also check out our [models repository](https://github.com/tensorflow/tfjs-models) where we host pre-trained models
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on NPM.
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## Benchmarks
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* [Local benchmark tool](https://tensorflow.github.io/tfjs/e2e/benchmarks/local-benchmark/index.html). Use this webpage tool to collect the performance related metrics (speed, memory, etc) of TensorFlow.js models and kernels **on your local device** with CPU, WebGL or WASM backends. You can benchmark custom models by following this [guide](https://github.com/tensorflow/tfjs/blob/master/e2e/benchmarks/local-benchmark/README.md).
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* [Multi-device benchmark tool](https://github.com/tensorflow/tfjs/tree/master/e2e/benchmarks/browserstack-benchmark/README.md). Use this tool to collect the same performance related metrics **on a collection of remote devices**.
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## Getting started
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There are two main ways to get TensorFlow.js in your JavaScript project:
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via <a href="https://developer.mozilla.org/en-US/docs/Learn/HTML/Howto/Use_JavaScript_within_a_webpage" target="_blank">script tags</a> <strong>or</strong> by installing it from <a href="https://www.npmjs.com/" target="_blank">NPM</a>
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and using a build tool like <a href="https://parceljs.org/" target="_blank">Parcel</a>,
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<a href="https://webpack.js.org/" target="_blank">WebPack</a>, or <a href="https://rollupjs.org/guide/en" target="_blank">Rollup</a>.
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### via Script Tag
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Add the following code to an HTML file:
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```html
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<html>
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<head>
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<!-- Load TensorFlow.js -->
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<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs/dist/tf.min.js"> </script>
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<!-- Place your code in the script tag below. You can also use an external .js file -->
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<script>
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// Notice there is no 'import' statement. 'tf' is available on the index-page
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// because of the script tag above.
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// Define a model for linear regression.
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const model = tf.sequential();
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model.add(tf.layers.dense({units: 1, inputShape: [1]}));
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// Prepare the model for training: Specify the loss and the optimizer.
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model.compile({loss: 'meanSquaredError', optimizer: 'sgd'});
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// Generate some synthetic data for training.
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const xs = tf.tensor2d([1, 2, 3, 4], [4, 1]);
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const ys = tf.tensor2d([1, 3, 5, 7], [4, 1]);
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// Train the model using the data.
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model.fit(xs, ys).then(() => {
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// Use the model to do inference on a data point the model hasn't seen before:
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// Open the browser devtools to see the output
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model.predict(tf.tensor2d([5], [1, 1])).print();
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});
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</script>
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</head>
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<body>
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</body>
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</html>
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```
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Open up that HTML file in your browser, and the code should run!
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### via NPM
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Add TensorFlow.js to your project using <a href="https://yarnpkg.com/en/" target="_blank">yarn</a> <em>or</em> <a href="https://docs.npmjs.com/cli/npm" target="_blank">npm</a>. <b>Note:</b> Because
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we use ES2017 syntax (such as `import`), this workflow assumes you are using a modern browser or a bundler/transpiler
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to convert your code to something older browsers understand. See our
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<a href='https://github.com/tensorflow/tfjs-examples' target="_blank">examples</a>
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to see how we use <a href="https://parceljs.org/" target="_blank">Parcel</a> to build
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our code. However, you are free to use any build tool that you prefer.
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```js
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import * as tf from '@tensorflow/tfjs';
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// Define a model for linear regression.
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const model = tf.sequential();
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model.add(tf.layers.dense({units: 1, inputShape: [1]}));
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// Prepare the model for training: Specify the loss and the optimizer.
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model.compile({loss: 'meanSquaredError', optimizer: 'sgd'});
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// Generate some synthetic data for training.
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const xs = tf.tensor2d([1, 2, 3, 4], [4, 1]);
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const ys = tf.tensor2d([1, 3, 5, 7], [4, 1]);
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// Train the model using the data.
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model.fit(xs, ys).then(() => {
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// Use the model to do inference on a data point the model hasn't seen before:
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model.predict(tf.tensor2d([5], [1, 1])).print();
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});
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```
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See our <a href="https://js.tensorflow.org/tutorials/" target="_blank">tutorials</a>, <a href="https://github.com/tensorflow/tfjs-examples" target="_blank">examples</a>
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and <a href="https://js.tensorflow.org/api/latest/">documentation</a> for more details.
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## Importing pre-trained models
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We support porting pre-trained models from:
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- [TensorFlow SavedModel](https://github.com/tensorflow/tfjs-converter)
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- [Keras](https://js.tensorflow.org/tutorials/import-keras.html)
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## Find out more
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[TensorFlow.js](https://js.tensorflow.org) is a part of the
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[TensorFlow](https://www.tensorflow.org) ecosystem. For more info:
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- For help from the community, use [`tensorflow.js`](https://stackoverflow.com/questions/tagged/tensorflow.js) tag on Stack Overflow.
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- [js.tensorflow.org](https://js.tensorflow.org)
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- [Tutorials](https://js.tensorflow.org/tutorials)
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- [API reference](https://js.tensorflow.org/api/latest/)
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- [Discussion mailing list](https://groups.google.com/a/tensorflow.org/forum/#!forum/tfjs)
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- [TensorFlow.js Blog](https://blog.tensorflow.org/search?label=TensorFlow.js)
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Thanks, <a href="https://www.browserstack.com/">BrowserStack</a>, for providing testing support.
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/**
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* @license
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* Copyright 2018 Google LLC. All Rights Reserved.
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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* =============================================================================
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*/
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import '@tensorflow/tfjs-core';
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import '@tensorflow/tfjs-core/dist/register_all_gradients';
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import '@tensorflow/tfjs-core/dist/public/chained_ops/register_all_chained_ops';
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export * from '@tensorflow/tfjs-core';
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export * from '@tensorflow/tfjs-layers';
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export * from '@tensorflow/tfjs-converter';
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import * as data from '@tensorflow/tfjs-data';
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export { data };
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import '@tensorflow/tfjs-backend-cpu';
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import '@tensorflow/tfjs-backend-webgl';
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export declare const version: {
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'tfjs-core': string;
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'tfjs-backend-cpu': string;
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'tfjs-backend-webgl': string;
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'tfjs-data': string;
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'tfjs-layers': string;
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'tfjs-converter': string;
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'tfjs': string;
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};
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/**
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* @license
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* Copyright 2018 Google LLC. All Rights Reserved.
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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* =============================================================================
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*/
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import '@tensorflow/tfjs-core';
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// tslint:disable-next-line: no-imports-from-dist
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import '@tensorflow/tfjs-core/dist/register_all_gradients';
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// tslint:disable-next-line: no-imports-from-dist
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import '@tensorflow/tfjs-core/dist/public/chained_ops/register_all_chained_ops';
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export * from '@tensorflow/tfjs-core';
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export * from '@tensorflow/tfjs-layers';
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export * from '@tensorflow/tfjs-converter';
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// Export data api as tf.data
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import * as data from '@tensorflow/tfjs-data';
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export { data };
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// Import and register backends.
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import '@tensorflow/tfjs-backend-cpu';
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import '@tensorflow/tfjs-backend-webgl';
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// Import versions of all sub-packages.
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import { version_core } from '@tensorflow/tfjs-core';
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import { version_cpu } from '@tensorflow/tfjs-backend-cpu';
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import { version_webgl } from '@tensorflow/tfjs-backend-webgl';
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import { version_data } from '@tensorflow/tfjs-data';
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import { version_layers } from '@tensorflow/tfjs-layers';
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import { version_converter } from '@tensorflow/tfjs-converter';
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import { version as version_union } from './version';
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export const version = {
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'tfjs-core': version_core,
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'tfjs-backend-cpu': version_cpu,
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'tfjs-backend-webgl': version_webgl,
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'tfjs-data': version_data,
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'tfjs-layers': version_layers,
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'tfjs-converter': version_converter,
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'tfjs': version_union
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};
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//# sourceMappingURL=index.js.map
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|
||||
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-19
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|
||||
/**
|
||||
* @license
|
||||
* Copyright 2020 Google LLC. All Rights Reserved.
|
||||
* Licensed under the Apache License, Version 2.0 (the "License");
|
||||
* you may not use this file except in compliance with the License.
|
||||
* You may obtain a copy of the License at
|
||||
*
|
||||
* http://www.apache.org/licenses/LICENSE-2.0
|
||||
*
|
||||
* Unless required by applicable law or agreed to in writing, software
|
||||
* distributed under the License is distributed on an "AS IS" BASIS,
|
||||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
* See the License for the specific language governing permissions and
|
||||
* limitations under the License.
|
||||
* =============================================================================
|
||||
*/
|
||||
import 'core-js/stable';
|
||||
import 'regenerator-runtime/runtime';
|
||||
export * from './index';
|
||||
Generated
Vendored
-21
@@ -1,21 +0,0 @@
|
||||
/**
|
||||
* @license
|
||||
* Copyright 2020 Google LLC. All Rights Reserved.
|
||||
* Licensed under the Apache License, Version 2.0 (the "License");
|
||||
* you may not use this file except in compliance with the License.
|
||||
* You may obtain a copy of the License at
|
||||
*
|
||||
* http://www.apache.org/licenses/LICENSE-2.0
|
||||
*
|
||||
* Unless required by applicable law or agreed to in writing, software
|
||||
* distributed under the License is distributed on an "AS IS" BASIS,
|
||||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
* See the License for the specific language governing permissions and
|
||||
* limitations under the License.
|
||||
* =============================================================================
|
||||
*/
|
||||
// This file is used to build a union bundle that has polyfills for ES5 support.
|
||||
import 'core-js/stable';
|
||||
import 'regenerator-runtime/runtime';
|
||||
export * from './index';
|
||||
//# sourceMappingURL=index_with_polyfills.js.map
|
||||
Generated
Vendored
-1
@@ -1 +0,0 @@
|
||||
{"version":3,"file":"index_with_polyfills.js","sourceRoot":"","sources":["../src/index_with_polyfills.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,gFAAgF;AAChF,OAAO,gBAAgB,CAAC;AACxB,OAAO,6BAA6B,CAAC;AACrC,cAAc,SAAS,CAAC","sourcesContent":["/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n// This file is used to build a union bundle that has polyfills for ES5 support.\nimport 'core-js/stable';\nimport 'regenerator-runtime/runtime';\nexport * from './index';\n"]}
|
||||
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|
||||
{"version":3,"file":"tf.es2017.js","sources":["../node_modules/@tensorflow/tfjs-core/dist/backends/backend.js","../node_modules/@tensorflow/tfjs-core/dist/util_base.js","../node_modules/@tensorflow/tfjs-core/dist/environment.js","../node_modules/@tensorflow/tfjs-core/dist/global_util.js","../node_modules/@tensorflow/tfjs-core/dist/kernel_names.js","../node_modules/@tensorflow/tfjs-core/dist/kernel_registry.js","../node_modules/@tensorflow/tfjs-core/dist/util.js","../node_modules/@tensorflow/tfjs-core/dist/profiler.js","../node_modules/@tensorflow/tfjs-core/dist/tape.js","../node_modules/@tensorflow/tfjs-core/dist/tensor_format.js","../node_modules/@tensorflow/tfjs-core/dist/tensor.js","../node_modules/@tensorflow/tfjs-core/dist/types.js","../node_modules/@tensorflow/tfjs-core/dist/tensor_util.js","../node_modules/@tensorflow/tfjs-core/dist/engine.js","../node_modules/@tensorflow/tfjs-core/dist/device_util.js","../node_modules/@tensorflow/tfjs-core/dist/flags.js","../node_modules/@tensorflow/tfjs-core/dist/tensor_util_env.js","../node_modules/@tensorflow/tfjs-core/dist/ops/operation.js","../node_modules/@tensorflow/tfjs-core/dist/ops/complex.js","../node_modules/@tensorflow/tfjs-core/dist/ops/tensor_ops_util.js","../node_modules/@tensorflow/tfjs-core/dist/ops/tensor.js","../node_modules/@tensorflow/tfjs-core/dist/io/types.js","../node_modules/@tensorflow/tfjs-core/dist/io/io_utils.js","../node_modules/@tensorflow/tfjs-core/dist/io/router_registry.js","../node_modules/@tensorflow/tfjs-core/dist/io/indexed_db.js","../node_modules/@tensorflow/tfjs-core/dist/io/local_storage.js","../node_modules/@tensorflow/tfjs-core/dist/io/model_management.js","../node_modules/@tensorflow/tfjs-core/dist/platforms/platform_browser.js","../node_modules/@tensorflow/tfjs-core/dist/platforms/platform_node.js","../node_modules/@tensorflow/tfjs-core/dist/ops/buffer.js","../node_modules/@tensorflow/tfjs-core/dist/ops/cast.js","../node_modules/@tensorflow/tfjs-core/dist/ops/clone.js","../node_modules/@tensorflow/tfjs-core/dist/ops/print.js","../node_modules/@tensorflow/tfjs-core/dist/base_side_effects.js","../node_modules/@tensorflow/tfjs-core/dist/io/browser_files.js","../node_modules/@tensorflow/tfjs-core/dist/io/progress.js","../node_modules/@tensorflow/tfjs-core/dist/io/weights_loader.js","../node_modules/@tensorflow/tfjs-core/dist/io/http.js","../node_modules/@tensorflow/tfjs-core/dist/io/passthrough.js","../node_modules/@tensorflow/tfjs-core/dist/io/io.js","../node_modules/@tensorflow/tfjs-core/dist/ops/mat_mul.js","../node_modules/@tensorflow/tfjs-core/dist/ops/one_hot.js","../node_modules/@tensorflow/tfjs-core/dist/ops/transpose.js","../node_modules/@tensorflow/tfjs-core/dist/ops/confusion_matrix.js","../node_modules/@tensorflow/tfjs-core/dist/math.js","../node_modules/@tensorflow/tfjs-core/dist/ops/tensor3d.js","../node_modules/@tensorflow/tfjs-core/dist/ops/browser.js","../node_modules/@tensorflow/tfjs-core/dist/ops/gather_nd_util.js","../node_modules/@tensorflow/tfjs-core/dist/ops/scatter_nd_util.js","../node_modules/@tensorflow/tfjs-core/dist/ops/slice_util.js","../node_modules/@tensorflow/tfjs-core/dist/serialization.js","../node_modules/@tensorflow/tfjs-core/dist/test_util.js","../node_modules/@tensorflow/tfjs-core/dist/version.js","../node_modules/@tensorflow/tfjs-core/dist/globals.js","../node_modules/@tensorflow/tfjs-core/dist/ops/add.js","../node_modules/@tensorflow/tfjs-core/dist/ops/floorDiv.js","../node_modules/@tensorflow/tfjs-core/dist/ops/div.js","../node_modules/@tensorflow/tfjs-core/dist/ops/mul.js","../node_modules/@tensorflow/tfjs-core/dist/ops/abs.js","../node_modules/@tensorflow/tfjs-core/dist/ops/acos.js","../node_modules/@tensorflow/tfjs-core/dist/ops/acosh.js","../node_modules/@tensorflow/tfjs-core/dist/ops/add_n.js","../node_modules/@tensorflow/tfjs-core/dist/ops/all.js","../node_modules/@tensorflow/tfjs-core/dist/ops/any.js","../node_modules/@tensorflow/tfjs-core/dist/ops/arg_max.js","../node_modules/@tensorflow/tfjs-core/dist/ops/arg_min.js","../node_modules/@tensorflow/tfjs-core/dist/ops/asin.js","../node_modules/@tensorflow/tfjs-core/dist/ops/asinh.js","../node_modules/@tensorflow/tfjs-core/dist/ops/atan.js","../node_modules/@tensorflow/tfjs-core/dist/ops/atan2.js","../node_modules/@tensorflow/tfjs-core/dist/ops/atanh.js","../node_modules/@tensorflow/tfjs-core/dist/ops/conv_util.js","../node_modules/@tensorflow/tfjs-core/dist/ops/reshape.js","../node_modules/@tensorflow/tfjs-core/dist/ops/avg_pool.js","../node_modules/@tensorflow/tfjs-core/dist/ops/avg_pool_3d.js","../node_modules/@tensorflow/tfjs-core/dist/ops/concat.js","../node_modules/@tensorflow/tfjs-core/dist/ops/sigmoid.js","../node_modules/@tensorflow/tfjs-core/dist/ops/slice.js","../node_modules/@tensorflow/tfjs-core/dist/ops/tanh.js","../node_modules/@tensorflow/tfjs-core/dist/ops/basic_lstm_cell.js","../node_modules/@tensorflow/tfjs-core/dist/ops/batch_to_space_nd.js","../node_modules/@tensorflow/tfjs-core/dist/ops/batchnorm_util.js",".L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truncated
|
||||
Generated
Vendored
-18
@@ -1,18 +0,0 @@
|
||||
/**
|
||||
* @license
|
||||
* Copyright 2021 Google LLC. All Rights Reserved.
|
||||
* Licensed under the Apache License, Version 2.0 (the "License");
|
||||
* you may not use this file except in compliance with the License.
|
||||
* You may obtain a copy of the License at
|
||||
*
|
||||
* http://www.apache.org/licenses/LICENSE-2.0
|
||||
*
|
||||
* Unless required by applicable law or agreed to in writing, software
|
||||
* distributed under the License is distributed on an "AS IS" BASIS,
|
||||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
* See the License for the specific language governing permissions and
|
||||
* limitations under the License.
|
||||
* =============================================================================
|
||||
*/
|
||||
!function(e,t){"object"==typeof exports&&"undefined"!=typeof module?t(exports):"function"==typeof define&&define.amd?define(["exports"],t):t((e=e||self).tf=e.tf||{})}(this,(function(e){"use strict";class t{constructor(e,t){this.backend=e,this.dataMover=t,this.data=new WeakMap,this.dataIdsCount=0}get(e){return this.data.has(e)||this.dataMover.moveData(this.backend,e),this.data.get(e)}set(e,t){this.dataIdsCount++,this.data.set(e,t)}has(e){return this.data.has(e)}delete(e){return this.dataIdsCount--,this.data.delete(e)}numDataIds(){return this.dataIdsCount}}class n{refCount(e){return s("refCount")}incRef(e){return s("incRef")}timerAvailable(){return!0}time(e){return s("time")}read(e){return s("read")}readSync(e){return s("readSync")}numDataIds(){return s("numDataIds")}disposeData(e,t){return s("disposeData")}write(e,t,n){return s("write")}move(e,t,n,r,a){return s("move")}memory(){return s("memory")}floatPrecision(){return s("floatPrecision")}epsilon(){return 32===this.floatPrecision()?1e-7:1e-4}dispose(){return s("dispose")}}function s(e){throw new Error(`'${e}' not yet implemented or not found in the registry. This kernel may not be supported by the tfjs backend you have chosen`)}function r(e){let t=e.length,n=0,s=0;for(;t>0;)s=Math.random()*t|0,t--,n=e[t],e[t]=e[s],e[s]=n}function a(e,t,n){return Math.max(e,Math.min(t,n))}function i(e){return e%2==0?e:e+1}function o(e){let t=0;for(let n=0;n<e.length;n++)t+=e[n];return t}function l(e,t){if(!e)throw new Error("string"==typeof t?t:t())}function u(e,t,n=""){l(d(e,t),(()=>n+` Shapes ${e} and ${t} must match`))}function c(e){l(null!=e,(()=>"The input to the tensor constructor must be a non-null value."))}function h(e,t=[],n=!1){if(null==t&&(t=[]),Array.isArray(e)||C(e)&&!n)for(let s=0;s<e.length;++s)h(e[s],t,n);else t.push(e);return t}function p(e){if(0===e.length)return 1;let t=e[0];for(let n=1;n<e.length;n++)t*=e[n];return t}function d(e,t){if(e===t)return!0;if(null==e||null==t)return!1;if(e.length!==t.length)return!1;for(let n=0;n<e.length;n++)if(e[n]!==t[n])return!1;return!0}function f(e){return e%1==0}function m(e){const t=Math.ceil(Math.sqrt(e));return[t,Math.ceil(e/t)]}function g(e,t){return t<=e.length?e:e+" ".repeat(t-e.length)}function y(e,t=(e=>0),n){return new Promise(((s,r)=>{let a=0;const i=()=>{if(e())return void s();a++;const o=t(a);null!=n&&a>=n?r():setTimeout(i,o)};i()}))}function b(e,t){let n=1,s=-1;for(let t=0;t<e.length;++t)if(e[t]>=0)n*=e[t];else if(-1===e[t]){if(-1!==s)throw Error(`Shapes can only have 1 implicit size. 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|
||||
//# sourceMappingURL=tf.es2017.min.js.map
|
||||
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|
||||
"homepage": "https://github.com/tensorflow/tfjs#readme",
|
||||
"jsdelivr": "dist/tf.min.js",
|
||||
"license": "Apache-2.0",
|
||||
"main": "dist/tf.node.js",
|
||||
"miniprogram": "dist/miniprogram",
|
||||
"module": "dist/index.js",
|
||||
"name": "@tensorflow/tfjs",
|
||||
"private": false,
|
||||
"repository": {
|
||||
"type": "git",
|
||||
"url": "git+https://github.com/tensorflow/tfjs.git"
|
||||
},
|
||||
"scripts": {
|
||||
"build": "tsc && yarn build-cli && yarn bundle",
|
||||
"build-backend-cpu": "cd ../tfjs-backend-cpu && yarn && yarn build",
|
||||
"build-backend-cpu-ci": "cd ../tfjs-backend-cpu && yarn && yarn build-ci",
|
||||
"build-backend-webgl": "cd ../tfjs-backend-webgl && yarn && yarn build",
|
||||
"build-backend-webgl-ci": "cd ../tfjs-backend-webgl && yarn && yarn build-ci",
|
||||
"build-ci": "tsc && yarn build-cli && yarn bundle-ci",
|
||||
"build-cli": "tsc --project ./tools/custom_module/tsconfig.json && chmod +x ./dist/tools/custom_module/cli.js",
|
||||
"build-converter": "cd ../tfjs-converter && yarn && yarn build",
|
||||
"build-converter-ci": "cd ../tfjs-converter && yarn && yarn build-ci",
|
||||
"build-core": "cd ../tfjs-core && yarn && yarn build",
|
||||
"build-core-ci": "cd ../tfjs-core && yarn && yarn build-ci",
|
||||
"build-data": "cd ../tfjs-data && yarn && yarn build",
|
||||
"build-data-ci": "cd ../tfjs-data && yarn && yarn build-ci",
|
||||
"build-deps": "yarn build-core && yarn build-layers && yarn build-converter && yarn build-data && yarn build-backend-cpu && yarn build-backend-webgl",
|
||||
"build-deps-ci": "yarn build-core-ci && yarn build-layers-ci && yarn build-converter-ci && yarn build-data-ci && yarn build-backend-cpu-ci && yarn build-backend-webgl-ci",
|
||||
"build-layers": "cd ../tfjs-layers && yarn && yarn build",
|
||||
"build-layers-ci": "cd ../tfjs-layers && yarn && yarn build-ci",
|
||||
"build-npm": "./scripts/build-npm.sh",
|
||||
"bundle": "rollup -c",
|
||||
"bundle-ci": "rollup -c --ci",
|
||||
"coverage": "KARMA_COVERAGE=1 karma start --browsers='Chrome' --singleRun",
|
||||
"link-local": "yalc link",
|
||||
"lint": "tslint -p . -t verbose",
|
||||
"publish-local": "yarn build-npm && yalc push",
|
||||
"publish-npm": "npm publish",
|
||||
"run-custom-build": "ts-node -s ./tools/custom_module/cli.ts",
|
||||
"test": "yarn && yarn build-deps && yarn build && karma start",
|
||||
"test-ci": "./scripts/test-ci.sh",
|
||||
"test-dev": "karma start",
|
||||
"test-tools": "ts-node --project ./tools/custom_module/tsconfig.json run_tools_tests.ts"
|
||||
},
|
||||
"types": "dist/index.d.ts",
|
||||
"unpkg": "dist/tf.min.js",
|
||||
"version": "3.6.0"
|
||||
}
|
||||
Generated
Vendored
-32
@@ -1,32 +0,0 @@
|
||||
/**
|
||||
* @license
|
||||
* Copyright 2020 Google LLC. All Rights Reserved.
|
||||
* Licensed under the Apache License, Version 2.0 (the "License");
|
||||
* you may not use this file except in compliance with the License.
|
||||
* You may obtain a copy of the License at
|
||||
*
|
||||
* http://www.apache.org/licenses/LICENSE-2.0
|
||||
*
|
||||
* Unless required by applicable law or agreed to in writing, software
|
||||
* distributed under the License is distributed on an "AS IS" BASIS,
|
||||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
* See the License for the specific language governing permissions and
|
||||
* limitations under the License.
|
||||
* =============================================================================
|
||||
*/
|
||||
|
||||
// tslint:disable-next-line:no-require-imports
|
||||
const jasmineCtor = require('jasmine');
|
||||
// tslint:disable-next-line:no-require-imports
|
||||
|
||||
Error.stackTraceLimit = Infinity;
|
||||
|
||||
process.on('unhandledRejection', e => {
|
||||
throw e;
|
||||
});
|
||||
const toolsTests = './tools/**/*_test.ts';
|
||||
|
||||
const runner = new jasmineCtor();
|
||||
runner.loadConfig({spec_files: [toolsTests], random: false});
|
||||
|
||||
runner.execute();
|
||||
Generated
Vendored
-12
@@ -1,12 +0,0 @@
|
||||
{
|
||||
"extends": "../tsconfig.test",
|
||||
"include": [
|
||||
"src/"
|
||||
],
|
||||
"exclude": [
|
||||
"node_modules/"
|
||||
],
|
||||
"compilerOptions": {
|
||||
"outDir": "./dist"
|
||||
}
|
||||
}
|
||||
-562
@@ -75,21 +75,6 @@
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||||
"resolved": "https://registry.npmjs.org/@tensorflow/tfjs-layers/-/tfjs-layers-3.6.0.tgz",
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||||
"integrity": "sha512-B7EHwAT6KFqhKzdf0e2Sr6haj9qpqpyEATV8OCPHdk+g8z2AGXOLlFfbgW6vCMjy1wb5jzYqCyZDoY3EWdgJAw=="
|
||||
},
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||||
"@tensorflow/tfjs-node": {
|
||||
"version": "3.6.1",
|
||||
"resolved": "https://registry.npmjs.org/@tensorflow/tfjs-node/-/tfjs-node-3.6.1.tgz",
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||||
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|
||||
"requires": {
|
||||
"@tensorflow/tfjs": "3.6.0",
|
||||
"adm-zip": "^0.4.11",
|
||||
"google-protobuf": "^3.9.2",
|
||||
"https-proxy-agent": "^2.2.1",
|
||||
"node-pre-gyp": "0.14.0",
|
||||
"progress": "^2.0.0",
|
||||
"rimraf": "^2.6.2",
|
||||
"tar": "^4.4.6"
|
||||
}
|
||||
},
|
||||
"@types/node": {
|
||||
"version": "15.6.1",
|
||||
"resolved": "https://registry.npmjs.org/@types/node/-/node-15.6.1.tgz",
|
||||
@@ -124,24 +109,6 @@
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||||
"resolved": "https://registry.npmjs.org/@types/webgl2/-/webgl2-0.0.5.tgz",
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||||
"integrity": "sha512-oGaKsBbxQOY5+aJFV3KECDhGaXt+yZJt2y/OZsnQGLRkH6Fvr7rv4pCt3SRH1somIHfej/c4u7NSpCyd9x+1Ow=="
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|
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||||
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||||
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||||
},
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"adm-zip": {
|
||||
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||||
"resolved": "https://registry.npmjs.org/adm-zip/-/adm-zip-0.4.16.tgz",
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"integrity": "sha512-TFi4HBKSGfIKsK5YCkKaaFG2m4PEDyViZmEwof3MTIgzimHLto6muaHVpbrljdIvIrFZzEq/p4nafOeLcYegrg=="
|
||||
},
|
||||
"agent-base": {
|
||||
"version": "4.3.0",
|
||||
"resolved": "https://registry.npmjs.org/agent-base/-/agent-base-4.3.0.tgz",
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"integrity": "sha512-salcGninV0nPrwpGNn4VTXBb1SOuXQBiqbrNXoeizJsHrsL6ERFM2Ne3JUSBWRE6aeNJI2ROP/WEEIDUiDe3cg==",
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||||
"requires": {
|
||||
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|
||||
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|
||||
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||||
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|
||||
"version": "5.0.0",
|
||||
"resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-5.0.0.tgz",
|
||||
@@ -155,20 +122,6 @@
|
||||
"color-convert": "^2.0.1"
|
||||
}
|
||||
},
|
||||
"aproba": {
|
||||
"version": "1.2.0",
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||||
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||||
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||||
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||||
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|
||||
"version": "1.1.5",
|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
"argparse": {
|
||||
"version": "1.0.10",
|
||||
"resolved": "https://registry.npmjs.org/argparse/-/argparse-1.0.10.tgz",
|
||||
@@ -182,20 +135,6 @@
|
||||
"resolved": "https://registry.npmjs.org/asynckit/-/asynckit-0.4.0.tgz",
|
||||
"integrity": "sha1-x57Zf380y48robyXkLzDZkdLS3k="
|
||||
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|
||||
"balanced-match": {
|
||||
"version": "1.0.2",
|
||||
"resolved": "https://registry.npmjs.org/balanced-match/-/balanced-match-1.0.2.tgz",
|
||||
"integrity": "sha512-3oSeUO0TMV67hN1AmbXsK4yaqU7tjiHlbxRDZOpH0KW9+CeX4bRAaX0Anxt0tx2MrpRpWwQaPwIlISEJhYU5Pw=="
|
||||
},
|
||||
"brace-expansion": {
|
||||
"version": "1.1.11",
|
||||
"resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-1.1.11.tgz",
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|
||||
"requires": {
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||||
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||||
"concat-map": "0.0.1"
|
||||
}
|
||||
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|
||||
"chalk": {
|
||||
"version": "4.1.1",
|
||||
"resolved": "https://registry.npmjs.org/chalk/-/chalk-4.1.1.tgz",
|
||||
@@ -205,11 +144,6 @@
|
||||
"supports-color": "^7.1.0"
|
||||
}
|
||||
},
|
||||
"chownr": {
|
||||
"version": "1.1.4",
|
||||
"resolved": "https://registry.npmjs.org/chownr/-/chownr-1.1.4.tgz",
|
||||
"integrity": "sha512-jJ0bqzaylmJtVnNgzTeSOs8DPavpbYgEr/b0YL8/2GO3xJEhInFmhKMUnEJQjZumK7KXGFhUy89PrsJWlakBVg=="
|
||||
},
|
||||
"cliui": {
|
||||
"version": "7.0.4",
|
||||
"resolved": "https://registry.npmjs.org/cliui/-/cliui-7.0.4.tgz",
|
||||
@@ -220,11 +154,6 @@
|
||||
"wrap-ansi": "^7.0.0"
|
||||
}
|
||||
},
|
||||
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|
||||
"version": "1.1.0",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"version": "2.0.1",
|
||||
"resolved": "https://registry.npmjs.org/color-convert/-/color-convert-2.0.1.tgz",
|
||||
@@ -246,72 +175,21 @@
|
||||
"delayed-stream": "~1.0.0"
|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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|
||||
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|
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|
||||
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||||
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|
||||
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"version": "4.2.8",
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"resolved": "https://registry.npmjs.org/es6-promise/-/es6-promise-4.2.8.tgz",
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"integrity": "sha512-HJDGx5daxeIvxdBxvG2cb9g4tEvwIk3i8+nhX0yGrYmZUzbkdg8QbDevheDB8gd0//uPj4c1EQua8Q+MViT0/w=="
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@@ -327,154 +205,21 @@
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"integrity": "sha512-Gd2UZBJDkXlY7GbJxfsE8/nvKkUEU1G38c1siN6QP6a9PT9MmHB8GnpscSmMJSoF8LOIrt8ud/wPtojys4G6+g=="
|
||||
},
|
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"safer-buffer": {
|
||||
"version": "2.1.2",
|
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"resolved": "https://registry.npmjs.org/safer-buffer/-/safer-buffer-2.1.2.tgz",
|
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"integrity": "sha512-YZo3K82SD7Riyi0E1EQPojLz7kpepnSQI9IyPbHHg1XXXevb5dJI7tpyN2ADxGcQbHG7vcyRHk0cbwqcQriUtg=="
|
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},
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"sax": {
|
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"version": "1.2.4",
|
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"resolved": "https://registry.npmjs.org/sax/-/sax-1.2.4.tgz",
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"integrity": "sha512-NqVDv9TpANUjFm0N8uM5GxL36UgKi9/atZw+x7YFnQ8ckwFGKrl4xX4yWtrey3UJm5nP1kUbnYgLopqWNSRhWw=="
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},
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"seedrandom": {
|
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"version": "2.4.3",
|
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"resolved": "https://registry.npmjs.org/seedrandom/-/seedrandom-2.4.3.tgz",
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"integrity": "sha1-JDhQTa0zkXMUv/GKxNeU8W1qrsw="
|
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},
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"semver": {
|
||||
"version": "5.7.1",
|
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"resolved": "https://registry.npmjs.org/semver/-/semver-5.7.1.tgz",
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"integrity": "sha512-sauaDf/PZdVgrLTNYHRtpXa1iRiKcaebiKQ1BJdpQlWH2lCvexQdX55snPFyK7QzpudqbCI0qXFfOasHdyNDGQ=="
|
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},
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"set-blocking": {
|
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"version": "2.0.0",
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"resolved": "https://registry.npmjs.org/set-blocking/-/set-blocking-2.0.0.tgz",
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"integrity": "sha1-BF+XgtARrppoA93TgrJDkrPYkPc="
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},
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"signal-exit": {
|
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"version": "3.0.3",
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"resolved": "https://registry.npmjs.org/signal-exit/-/signal-exit-3.0.3.tgz",
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"integrity": "sha512-VUJ49FC8U1OxwZLxIbTTrDvLnf/6TDgxZcK8wxR8zs13xpx7xbG60ndBlhNrFi2EMuFRoeDoJO7wthSLq42EjA=="
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},
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"sprintf-js": {
|
||||
"version": "1.0.3",
|
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"resolved": "https://registry.npmjs.org/sprintf-js/-/sprintf-js-1.0.3.tgz",
|
||||
@@ -751,14 +268,6 @@
|
||||
"strip-ansi": "^6.0.0"
|
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}
|
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},
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"string_decoder": {
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"version": "1.1.1",
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"resolved": "https://registry.npmjs.org/string_decoder/-/string_decoder-1.1.1.tgz",
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"integrity": "sha512-n/ShnvDi6FHbbVfviro+WojiFzv+s8MPMHBczVePfUpDJLwoLT0ht1l4YwBCbi8pJAveEEdnkHyPyTP/mzRfwg==",
|
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"requires": {
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"safe-buffer": "~5.1.0"
|
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}
|
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},
|
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"strip-ansi": {
|
||||
"version": "6.0.0",
|
||||
"resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-6.0.0.tgz",
|
||||
@@ -767,11 +276,6 @@
|
||||
"ansi-regex": "^5.0.0"
|
||||
}
|
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},
|
||||
"strip-json-comments": {
|
||||
"version": "2.0.1",
|
||||
"resolved": "https://registry.npmjs.org/strip-json-comments/-/strip-json-comments-2.0.1.tgz",
|
||||
"integrity": "sha1-PFMZQukIwml8DsNEhYwobHygpgo="
|
||||
},
|
||||
"supports-color": {
|
||||
"version": "7.2.0",
|
||||
"resolved": "https://registry.npmjs.org/supports-color/-/supports-color-7.2.0.tgz",
|
||||
@@ -780,62 +284,6 @@
|
||||
"has-flag": "^4.0.0"
|
||||
}
|
||||
},
|
||||
"tar": {
|
||||
"version": "4.4.13",
|
||||
"resolved": "https://registry.npmjs.org/tar/-/tar-4.4.13.tgz",
|
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"integrity": "sha512-w2VwSrBoHa5BsSyH+KxEqeQBAllHhccyMFVHtGtdMpF4W7IRWfZjFiQceJPChOeTsSDVUpER2T8FA93pr0L+QA==",
|
||||
"requires": {
|
||||
"chownr": "^1.1.1",
|
||||
"fs-minipass": "^1.2.5",
|
||||
"minipass": "^2.8.6",
|
||||
"minizlib": "^1.2.1",
|
||||
"mkdirp": "^0.5.0",
|
||||
"safe-buffer": "^5.1.2",
|
||||
"yallist": "^3.0.3"
|
||||
}
|
||||
},
|
||||
"util-deprecate": {
|
||||
"version": "1.0.2",
|
||||
"resolved": "https://registry.npmjs.org/util-deprecate/-/util-deprecate-1.0.2.tgz",
|
||||
"integrity": "sha1-RQ1Nyfpw3nMnYvvS1KKJgUGaDM8="
|
||||
},
|
||||
"wide-align": {
|
||||
"version": "1.1.3",
|
||||
"resolved": "https://registry.npmjs.org/wide-align/-/wide-align-1.1.3.tgz",
|
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"integrity": "sha512-QGkOQc8XL6Bt5PwnsExKBPuMKBxnGxWWW3fU55Xt4feHozMUhdUMaBCk290qpm/wG5u/RSKzwdAC4i51YigihA==",
|
||||
"requires": {
|
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"string-width": "^1.0.2 || 2"
|
||||
},
|
||||
"dependencies": {
|
||||
"ansi-regex": {
|
||||
"version": "3.0.0",
|
||||
"resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-3.0.0.tgz",
|
||||
"integrity": "sha1-7QMXwyIGT3lGbAKWa922Bas32Zg="
|
||||
},
|
||||
"is-fullwidth-code-point": {
|
||||
"version": "2.0.0",
|
||||
"resolved": "https://registry.npmjs.org/is-fullwidth-code-point/-/is-fullwidth-code-point-2.0.0.tgz",
|
||||
"integrity": "sha1-o7MKXE8ZkYMWeqq5O+764937ZU8="
|
||||
},
|
||||
"string-width": {
|
||||
"version": "2.1.1",
|
||||
"resolved": "https://registry.npmjs.org/string-width/-/string-width-2.1.1.tgz",
|
||||
"integrity": "sha512-nOqH59deCq9SRHlxq1Aw85Jnt4w6KvLKqWVik6oA9ZklXLNIOlqg4F2yrT1MVaTjAqvVwdfeZ7w7aCvJD7ugkw==",
|
||||
"requires": {
|
||||
"is-fullwidth-code-point": "^2.0.0",
|
||||
"strip-ansi": "^4.0.0"
|
||||
}
|
||||
},
|
||||
"strip-ansi": {
|
||||
"version": "4.0.0",
|
||||
"resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-4.0.0.tgz",
|
||||
"integrity": "sha1-qEeQIusaw2iocTibY1JixQXuNo8=",
|
||||
"requires": {
|
||||
"ansi-regex": "^3.0.0"
|
||||
}
|
||||
}
|
||||
}
|
||||
},
|
||||
"wrap-ansi": {
|
||||
"version": "7.0.0",
|
||||
"resolved": "https://registry.npmjs.org/wrap-ansi/-/wrap-ansi-7.0.0.tgz",
|
||||
@@ -846,21 +294,11 @@
|
||||
"strip-ansi": "^6.0.0"
|
||||
}
|
||||
},
|
||||
"wrappy": {
|
||||
"version": "1.0.2",
|
||||
"resolved": "https://registry.npmjs.org/wrappy/-/wrappy-1.0.2.tgz",
|
||||
"integrity": "sha1-tSQ9jz7BqjXxNkYFvA0QNuMKtp8="
|
||||
},
|
||||
"y18n": {
|
||||
"version": "5.0.8",
|
||||
"resolved": "https://registry.npmjs.org/y18n/-/y18n-5.0.8.tgz",
|
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"integrity": "sha512-0pfFzegeDWJHJIAmTLRP2DwHjdF5s7jo9tuztdQxAhINCdvS+3nGINqPd00AphqJR/0LhANUS6/+7SCb98YOfA=="
|
||||
},
|
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"yallist": {
|
||||
"version": "3.1.1",
|
||||
"resolved": "https://registry.npmjs.org/yallist/-/yallist-3.1.1.tgz",
|
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"integrity": "sha512-a4UGQaWPH59mOXUYnAG2ewncQS4i4F43Tv3JoAM+s2VDAmS9NsK8GpDMLrCHPksFT7h3K6TOoUNn2pb7RoXx4g=="
|
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},
|
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"yargs": {
|
||||
"version": "16.2.0",
|
||||
"resolved": "https://registry.npmjs.org/yargs/-/yargs-16.2.0.tgz",
|
||||
|
||||
@@ -7,7 +7,6 @@
|
||||
"name": "Luis-Fernando-Molina"
|
||||
},
|
||||
"dependencies": {
|
||||
"@tensorflow/tfjs": "^3.6.0",
|
||||
"@tensorflow/tfjs-node": "^3.6.1"
|
||||
"@tensorflow/tfjs": "^3.6.0"
|
||||
}
|
||||
}
|
||||
Reference in new issue
Block a user