npmpackage.info

@tensorflow/tfjs-layers

A WebGL accelerated JavaScript library for training and deploying ML models.

4.22.0

18,512

Apache-2.0

TypeScript

53.24 kB

19,134,640 5.1

Installations

npm install @tensorflow/tfjs-layers

Score

66.7

Supply Chain

95.8

Quality

92.3

Maintenance

100

Vulnerability

71.1

License

Pull Requests

Open

235

Total

4,207

Closed

525

Merged

3,447

Issues

Open

306

Total

4,205

Closed

3,899

Releases

105

tfjs-v4.22.0

Published on 21 Oct 2024

tfjs-v4.21.0

Published on 04 Sept 2024

tfjs-v4.20.0

Published on 03 Jun 2024

tfjs-v4.19.0

Published on 30 Apr 2024

tfjs-v4.18.0

Published on 17 Apr 2024

tfjs-v4.17.0

Published on 31 Jan 2024

View all 105 releases

Developer

tensorflow

Developer Guide

BETA

Module System

CommonJS

Min. Node Version

Typescript Support

Yes

Node Version

18.13.0

NPM Version

8.19.3 Statistics

18,512 Stars

6,100 Commits

1,935 Forks

327 Watching

467 Branches

368 Contributors

Updated on 27 Nov 2024

Bundle Size

219.19 kB

Minified

53.24 kB

Minified + Gzipped

Bundlephobia

Languages

TypeScript (80.15%)

JavaScript (8.52%)

C++ (4.51%)

Python (3.77%)

Starlark (1.32%)

HTML (0.92%)

Shell (0.51%)

CSS (0.19%)

Objective-C (0.04%)

Java (0.03%)

Ruby (0.01%)

Batchfile (0.01%)

C (0.01%)

Dockerfile (0.01%)

Total Downloads

Cumulative downloads

Total Downloads

19,134,640

Last day

-3.5%

22,604

Compared to previous day

Last week

4.5%

125,980

Compared to previous week

Last month

12.9%

508,699

Compared to previous month

Last year

-19%

5,036,637

Compared to previous year

Daily Downloads

Weekly Downloads

Monthly Downloads

Yearly Downloads

Peer Dependencies

@tensorflow/tfjs-core

Dev Dependencies

@bazel/bazelisk clang-format

Versions

TensorFlow.js

TensorFlow.js is an open-source hardware-accelerated JavaScript library for training and deploying machine learning models.

Develop ML in the Browser
Use flexible and intuitive APIs to build models from scratch using the low-level JavaScript linear algebra library or the high-level layers API.

Develop ML in Node.js
Execute native TensorFlow with the same TensorFlow.js API under the Node.js runtime.

Run Existing models
Use TensorFlow.js model converters to run pre-existing TensorFlow models right in the browser.

Retrain Existing models
Retrain pre-existing ML models using sensor data connected to the browser or other client-side data.

About this repo

This repository contains the logic and scripts that combine several packages.

APIs:

TensorFlow.js Core, a flexible low-level API for neural networks and numerical computation.
TensorFlow.js Layers, a high-level API which implements functionality similar to Keras.
TensorFlow.js Data, a simple API to load and prepare data analogous to tf.data.
TensorFlow.js Converter, tools to import a TensorFlow SavedModel to TensorFlow.js
TensorFlow.js Vis, in-browser visualization for TensorFlow.js models
TensorFlow.js AutoML, Set of APIs to load and run models produced by AutoML Edge.

Backends/Platforms:

TensorFlow.js CPU Backend, pure-JS backend for Node.js and the browser.
TensorFlow.js WebGL Backend, WebGL backend for the browser.
TensorFlow.js WASM Backend, WebAssembly backend for the browser.
TensorFlow.js WebGPU, WebGPU backend for the browser.
TensorFlow.js Node, Node.js platform via TensorFlow C++ adapter.
TensorFlow.js React Native, React Native platform via expo-gl adapter.

If you care about bundle size, you can import those packages individually.

If you are looking for Node.js support, check out the TensorFlow.js Node directory.

Examples

Check out our examples repository and our tutorials.

Gallery

Be sure to check out the gallery of all projects related to TensorFlow.js.

Pre-trained models

Be sure to also check out our models repository where we host pre-trained models on NPM.

Benchmarks

Local benchmark tool. 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.
Multi-device benchmark tool. Use this tool to collect the same performance related metrics on a collection of remote devices.

Getting started

There are two main ways to get TensorFlow.js in your JavaScript project: via script tags or by installing it from NPM and using a build tool like Parcel, WebPack, or Rollup.

via Script Tag

Add the following code to an HTML file:

1<html>
2  <head>
3    <!-- Load TensorFlow.js -->
4    <script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs/dist/tf.min.js"> </script>
5
6
7    <!-- Place your code in the script tag below. You can also use an external .js file -->
8    <script>
9      // Notice there is no 'import' statement. 'tf' is available on the index-page
10      // because of the script tag above.
11
12      // Define a model for linear regression.
13      const model = tf.sequential();
14      model.add(tf.layers.dense({units: 1, inputShape: [1]}));
15
16      // Prepare the model for training: Specify the loss and the optimizer.
17      model.compile({loss: 'meanSquaredError', optimizer: 'sgd'});
18
19      // Generate some synthetic data for training.
20      const xs = tf.tensor2d([1, 2, 3, 4], [4, 1]);
21      const ys = tf.tensor2d([1, 3, 5, 7], [4, 1]);
22
23      // Train the model using the data.
24      model.fit(xs, ys).then(() => {
25        // Use the model to do inference on a data point the model hasn't seen before:
26        // Open the browser devtools to see the output
27        model.predict(tf.tensor2d([5], [1, 1])).print();
28      });
29    </script>
30  </head>
31
32  <body>
33  </body>
34</html>

Open up that HTML file in your browser, and the code should run!

via NPM

Add TensorFlow.js to your project using yarn or npm. Note: Because we use ES2017 syntax (such as import), this workflow assumes you are using a modern browser or a bundler/transpiler to convert your code to something older browsers understand. See our examples to see how we use Parcel to build our code. However, you are free to use any build tool that you prefer.

1import * as tf from '@tensorflow/tfjs';
2
3// Define a model for linear regression.
4const model = tf.sequential();
5model.add(tf.layers.dense({units: 1, inputShape: [1]}));
6
7// Prepare the model for training: Specify the loss and the optimizer.
8model.compile({loss: 'meanSquaredError', optimizer: 'sgd'});
9
10// Generate some synthetic data for training.
11const xs = tf.tensor2d([1, 2, 3, 4], [4, 1]);
12const ys = tf.tensor2d([1, 3, 5, 7], [4, 1]);
13
14// Train the model using the data.
15model.fit(xs, ys).then(() => {
16  // Use the model to do inference on a data point the model hasn't seen before:
17  model.predict(tf.tensor2d([5], [1, 1])).print();
18});

See our tutorials, examples and documentation for more details.

Importing pre-trained models

We support porting pre-trained models from:

Various ops supported in different backends

Please refer below :

TFJS Ops Matrix

Find out more

TensorFlow.js is a part of the TensorFlow ecosystem. For more info:

For help from the community, use the tfjs tag on the TensorFlow Forum.
TensorFlow.js Website
Tutorials
API reference
TensorFlow.js Blog

Thanks, BrowserStack, for providing testing support.

No vulnerabilities found.

10

Dangerous-Workflow

Determines if the project's GitHub Action workflows avoid dangerous patterns.

10

Code-Review

Determines if the project requires human code review before pull requests (aka merge requests) are merged.

10

Token-Permissions

Determines if the project's workflows follow the principle of least privilege.

10

License

Determines if the project has defined a license.

9

Binary-Artifacts

Determines if the project has generated executable (binary) artifacts in the source repository.

4

Maintained

Determines if the project is "actively maintained".

0

CII-Best-Practices

Determines if the project has an OpenSSF (formerly CII) Best Practices Badge.

0

Security-Policy

Determines if the project has published a security policy.

0

Pinned-Dependencies

Determines if the project has declared and pinned the dependencies of its build process.

Reason

dependency not pinned by hash detected -- score normalized to 0

Details

Warn: GitHub-owned GitHubAction not pinned by hash: .github/workflows/deploy-benchmark-preview.yml:17: update your workflow using https://app.stepsecurity.io/secureworkflow/tensorflow/tfjs/deploy-benchmark-preview.yml/master?enable=pin
Warn: third-party GitHubAction not pinned by hash: .github/workflows/deploy-benchmark-preview.yml:18: update your workflow using https://app.stepsecurity.io/secureworkflow/tensorflow/tfjs/deploy-benchmark-preview.yml/master?enable=pin
Warn: GitHub-owned GitHubAction not pinned by hash: .github/workflows/deploy-benchmark-prod.yml:19: update your workflow using https://app.stepsecurity.io/secureworkflow/tensorflow/tfjs/deploy-benchmark-prod.yml/master?enable=pin
Warn: third-party GitHubAction not pinned by hash: .github/workflows/deploy-benchmark-prod.yml:20: update your workflow using https://app.stepsecurity.io/secureworkflow/tensorflow/tfjs/deploy-benchmark-prod.yml/master?enable=pin
Warn: GitHub-owned GitHubAction not pinned by hash: .github/workflows/stale.yaml:33: update your workflow using https://app.stepsecurity.io/secureworkflow/tensorflow/tfjs/stale.yaml/master?enable=pin
Warn: containerImage not pinned by hash: dockers/release-docker/Dockerfile:1: pin your Docker image by updating node:18.13.0-bullseye-slim to node:18.13.0-bullseye-slim@sha256:bc946484118735406562f17c57ddf5fded436e175b6a51f827aa6540ba1e13de
Warn: containerImage not pinned by hash: dockers/wasm-docker/Dockerfile:2: pin your Docker image by updating emscripten/emsdk:2.0.14 to emscripten/emsdk:2.0.14@sha256:d409c163cc3761baaadc8371af47f8a1465c9d4215a6a75ad15ac6c5dd05022f
Warn: pipCommand not pinned by hash: dockers/release-docker/Dockerfile:8-38
Warn: pipCommand not pinned by hash: dockers/release-docker/Dockerfile:45
Warn: pipCommand not pinned by hash: dockers/release-docker/Dockerfile:48
Warn: npmCommand not pinned by hash: dockers/wasm-docker/Dockerfile:5
Warn: pipCommand not pinned by hash: dockers/wasm-docker/Dockerfile:16
Warn: npmCommand not pinned by hash: e2e/scripts/release-e2e.sh:76
Warn: pipCommand not pinned by hash: e2e/scripts/setup-py-env.sh:53
Warn: pipCommand not pinned by hash: e2e/scripts/setup-py-env.sh:55
Warn: pipCommand not pinned by hash: e2e/scripts/setup-py-env.sh:59
Warn: pipCommand not pinned by hash: tfjs-converter/python/build-pip-package.sh:128
Warn: pipCommand not pinned by hash: tfjs-converter/python/build-pip-package.sh:190
Warn: pipCommand not pinned by hash: tfjs-converter/python/build-pip-package.sh:251
Warn: pipCommand not pinned by hash: tfjs-converter/python/run-python-tests.sh:31
Warn: pipCommand not pinned by hash: tfjs-converter/python/run-python-tests.sh:54
Warn: pipCommand not pinned by hash: tfjs-inference/scripts/run_python.sh:20
Warn: pipCommand not pinned by hash: tfjs-inference/scripts/run_python.sh:28
Info: 0 out of 3 GitHub-owned GitHubAction dependencies pinned
Info: 0 out of 2 third-party GitHubAction dependencies pinned
Info: 0 out of 2 containerImage dependencies pinned
Info: 0 out of 14 pipCommand dependencies pinned
Info: 0 out of 2 npmCommand dependencies pinned

0

Fuzzing

Determines if the project uses fuzzing.

0

SAST

Determines if the project uses static code analysis.

0

Vulnerabilities

Determines if the project has open, known unfixed vulnerabilities.

Reason

110 existing vulnerabilities detected

Details

Warn: Project is vulnerable to: GHSA-7v5v-9h63-cj86
Warn: Project is vulnerable to: GHSA-qwcr-r2fm-qrc7
Warn: Project is vulnerable to: GHSA-grv7-fg5c-xmjg
Warn: Project is vulnerable to: GHSA-pxg6-pf52-xh8x
Warn: Project is vulnerable to: GHSA-36jr-mh4h-2g58
Warn: Project is vulnerable to: GHSA-r7qp-cfhv-p84w
Warn: Project is vulnerable to: GHSA-q9mw-68c2-j6m5
Warn: Project is vulnerable to: GHSA-jchw-25xp-jwwc
Warn: Project is vulnerable to: GHSA-cxjh-pqwp-8mfp
Warn: Project is vulnerable to: GHSA-hhhv-q57g-882q
Warn: Project is vulnerable to: GHSA-8cf7-32gw-wr33
Warn: Project is vulnerable to: GHSA-hjrf-2m68-5959
Warn: Project is vulnerable to: GHSA-qwph-4952-7xr6
Warn: Project is vulnerable to: GHSA-h755-8qp9-cq85
Warn: Project is vulnerable to: GHSA-c2qf-rxjj-qqgw
Warn: Project is vulnerable to: GHSA-25hc-qcg6-38wj
Warn: Project is vulnerable to: GHSA-cqmj-92xf-r6r9
Warn: Project is vulnerable to: GHSA-mxhp-79qh-mcx6
Warn: Project is vulnerable to: GHSA-4vq7-882g-wcg4
Warn: Project is vulnerable to: GHSA-w5m3-xh75-mp55
Warn: Project is vulnerable to: GHSA-j8xg-fqg3-53r7
Warn: Project is vulnerable to: GHSA-3h5v-q93c-6h6q
Warn: Project is vulnerable to: GHSA-3xgq-45jj-v275
Warn: Project is vulnerable to: GHSA-gcx4-mw62-g8wm
Warn: Project is vulnerable to: GHSA-f5x3-32g6-xq36
Warn: Project is vulnerable to: GHSA-4wf5-vphf-c2xc
Warn: Project is vulnerable to: GHSA-4vvj-4cpr-p986
Warn: Project is vulnerable to: GHSA-c4w7-xm78-47vh
Warn: Project is vulnerable to: GHSA-67hx-6x53-jw92
Warn: Project is vulnerable to: GHSA-x9w5-v3q2-3rhw
Warn: Project is vulnerable to: GHSA-434g-2637-qmqr
Warn: Project is vulnerable to: GHSA-49q7-c7j4-3p7m
Warn: Project is vulnerable to: GHSA-977x-g7h5-7qgw
Warn: Project is vulnerable to: GHSA-f7q4-pwc6-w24p
Warn: Project is vulnerable to: GHSA-fc9h-whq2-v747
Warn: Project is vulnerable to: GHSA-p8p7-x288-28g6
Warn: Project is vulnerable to: GHSA-72xf-g2v4-qvf3
Warn: Project is vulnerable to: GHSA-896r-f27r-55mw
Warn: Project is vulnerable to: GHSA-9c47-m6qq-7p4h
Warn: Project is vulnerable to: GHSA-952p-6rrq-rcjv
Warn: Project is vulnerable to: GHSA-7hpj-7hhx-2fgx
Warn: Project is vulnerable to: GHSA-f8q6-p94x-37v3
Warn: Project is vulnerable to: GHSA-hrpp-h998-j3pp
Warn: Project is vulnerable to: GHSA-hxcc-f52p-wc94
Warn: Project is vulnerable to: GHSA-7fh5-64p2-3v2j
Warn: Project is vulnerable to: GHSA-rv95-896h-c2vc
Warn: Project is vulnerable to: GHSA-qw6h-vgh9-j6wx
Warn: Project is vulnerable to: GHSA-c7qv-q95q-8v27
Warn: Project is vulnerable to: GHSA-78xj-cgh5-2h22
Warn: Project is vulnerable to: GHSA-2p57-rm9w-gvfp
Warn: Project is vulnerable to: GHSA-9wv6-86v2-598j
Warn: Project is vulnerable to: GHSA-m6fv-jmcg-4jfg
Warn: Project is vulnerable to: GHSA-cm22-4g7w-348p
Warn: Project is vulnerable to: GHSA-wr3j-pwj9-hqq6
Warn: Project is vulnerable to: GHSA-gxpj-cx7g-858c
Warn: Project is vulnerable to: GHSA-w7rc-rwvf-8q5r
Warn: Project is vulnerable to: GHSA-r683-j2x4-v87g
Warn: Project is vulnerable to: GHSA-cx63-2mw6-8hw5
Warn: Project is vulnerable to: GHSA-248v-346w-9cwc
Warn: Project is vulnerable to: PYSEC-2023-135 / GHSA-xqr8-7jwr-rhp7
Warn: Project is vulnerable to: GHSA-496j-2rq6-j6cc
Warn: Project is vulnerable to: GHSA-6628-q6j9-w8vg
Warn: Project is vulnerable to: GHSA-9hxf-ppjv-w6rq
Warn: Project is vulnerable to: GHSA-cfgp-2977-2fmm
Warn: Project is vulnerable to: PYSEC-2024-60 / GHSA-jjg7-2v4v-x38h
Warn: Project is vulnerable to: PYSEC-2023-117 / GHSA-mrwq-x4v8-fh7p
Warn: Project is vulnerable to: GHSA-9wx4-h78v-vm56
Warn: Project is vulnerable to: PYSEC-2023-74 / GHSA-j8r2-6x86-q33q
Warn: Project is vulnerable to: PYSEC-2023-102
Warn: Project is vulnerable to: GHSA-34jh-p97f-mpxf
Warn: Project is vulnerable to: PYSEC-2023-212 / GHSA-g4mx-q9vg-27p4
Warn: Project is vulnerable to: PYSEC-2023-192 / GHSA-v845-jxx5-vc9f
Warn: Project is vulnerable to: GHSA-2g68-c3qc-8985
Warn: Project is vulnerable to: GHSA-f9vj-2wh5-fj8j
Warn: Project is vulnerable to: PYSEC-2023-221 / GHSA-hrfv-mqp8-q5rw
Warn: Project is vulnerable to: PYSEC-2023-57 / GHSA-px8h-6qxv-m22q
Warn: Project is vulnerable to: GHSA-q34m-jh98-gwm2
Warn: Project is vulnerable to: PYSEC-2023-58 / GHSA-xg9f-g7g7-2323
Warn: Project is vulnerable to: GHSA-jfmj-5v4g-7637
Warn: Project is vulnerable to: GHSA-22r3-9w55-cj54
Warn: Project is vulnerable to: GHSA-93q8-gq69-wqmw
Warn: Project is vulnerable to: GHSA-cwfw-4gq5-mrqx
Warn: Project is vulnerable to: GHSA-g95f-p29q-9xw4
Warn: Project is vulnerable to: GHSA-phwq-j96m-2c2q
Warn: Project is vulnerable to: GHSA-ghr5-ch3p-vcr6
Warn: Project is vulnerable to: GHSA-8r6j-v8pm-fqw3
Warn: Project is vulnerable to: MAL-2023-462
Warn: Project is vulnerable to: GHSA-pc5p-h8pf-mvwp
Warn: Project is vulnerable to: GHSA-w7q9-p3jq-fmhm
Warn: Project is vulnerable to: GHSA-xvf7-4v9q-58w6
Warn: Project is vulnerable to: GHSA-4xcv-9jjx-gfj3
Warn: Project is vulnerable to: GHSA-7wpw-2hjm-89gp
Warn: Project is vulnerable to: GHSA-vh95-rmgr-6w4m / GHSA-xvch-5gv4-984h
Warn: Project is vulnerable to: GHSA-5fw9-fq32-wv5p
Warn: Project is vulnerable to: GHSA-rp65-9cf3-cjxr
Warn: Project is vulnerable to: GHSA-rxrc-rgv4-jpvx
Warn: Project is vulnerable to: GHSA-7f53-fmmv-mfjv
Warn: Project is vulnerable to: GHSA-g4rg-993r-mgx7
Warn: Project is vulnerable to: GHSA-jgrx-mgxx-jf9v
Warn: Project is vulnerable to: GHSA-p9pc-299p-vxgp
Warn: Project is vulnerable to: GHSA-pfrx-2q88-qq97
Warn: Project is vulnerable to: GHSA-fwr7-v2mv-hh25
Warn: Project is vulnerable to: GHSA-crh6-fp67-6883
Warn: Project is vulnerable to: GHSA-p3vf-v8qc-cwcr
Warn: Project is vulnerable to: GHSA-gx9m-whjm-85jf
Warn: Project is vulnerable to: GHSA-mmhx-hmjr-r674
Warn: Project is vulnerable to: GHSA-4gmj-3p3h-gm8h
Warn: Project is vulnerable to: GHSA-74fj-2j2h-c42q
Warn: Project is vulnerable to: GHSA-pw2r-vq6v-hr8c
Warn: Project is vulnerable to: GHSA-x3m3-4wpv-5vgc

Score

5.1

/10

Last Scanned on 2024-11-18

The Open Source Security Foundation is a cross-industry collaboration to improve the security of open source software (OSS). The Scorecard provides security health metrics for open source projects.

Learn More

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