ES6 Module Import of Tensorflow no longer works

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TensorFlow.js version

Tensorflow Core 2.1.0

Browser version

Doesn’t matter, but Chrome 85

Describe the problem or feature request

Previously, with Tensorflow (ex 1.3.2), I could use ES6 module imports along with a simple bare-module resolving server like es-dev-server (https://www.npmjs.com/package/es-dev-server), or quite possibly the Chrome only import maps.

Unfortunately, now, that’s not possible. It looks like the newer dependency tfjs-backend-cpu contains a seedrandom import, and this module is not a proper ES6 import (uses require() for importing). Perhaps this small module could be bundled as an ES6 import prior to shipping such that it all works again?

thanks!

[AmitMY]

This is still an issue.

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Using Angular (webpack), it is possible to import, but the following message is given: tfjs 3.16.0

Warning: \node_modules@tensorflow\tfjs-backend-cpu\dist\kernels\Multinomial.js depends on ‘seedrandom’. CommonJS or AMD dependencies can cause optimization bailouts. For more info see: https://angular.io/guide/build#configuring-commonjs-dependencies

Warning: \node_modules@tensorflow\tfjs-core\dist\ops\rand_util.js depends on ‘seedrandom’. CommonJS or AMD dependencies can cause optimization bailouts. For more info see: https://angular.io/guide/build#configuring-commonjs-dependencies

[mattsoulanille]

Here’s the branch where I’m working on this. If you want to try it locally, you can build local npm packages from it by running yarn build in link-package. The outputs show up in link-package/node_modules/@tensorflow/.