@tensorflow/tfjs-node
Advanced tools
**This repo is under active development and is not production-ready. We are actively developing as an open source project.**
This repo is under active development and is not production-ready. We are actively developing as an open source project.
npm install @tensorflow/tfjs-node
(or)
yarn add @tensorflow/tfjs-node
Before executing any TensorFlow.js code, load and set the backend to 'tensorflow'.
import * as tf from '@tensorflow/tfjs';
import '@tensorflow/tfjs-node';
tf.setBackend('tensorflow');
# Download and install JS dependencies, including libtensorflow 1.8.
yarn
# Run TFJS tests against Node.js backend:
yarn test
See the demo directory that trains MNIST using TensorFlow.js with the
TensorFlow C backend.
cd demo/
yarn
# Run the training script. See demo/package.json for this script.
yarn mnist
The important line to note is at the top of mnist.ts, which sets the backend to
TensorFlow.
This requires installing bazel first.
bazel build //tensorflow/tools/lib_package:libtensorflow
FAQs
This repository provides native TensorFlow execution in backend JavaScript applications under the Node.js runtime, accelerated by the TensorFlow C binary under the hood. It provides the same API as [TensorFlow.js](https://js.tensorflow.org/api/latest/).
The npm package @tensorflow/tfjs-node receives a total of 32,605 weekly downloads. As such, @tensorflow/tfjs-node popularity was classified as popular.
We found that @tensorflow/tfjs-node demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 10 open source maintainers collaborating on the project.
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