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@isidorus/cpu

v0.0.0-alpha.17

Published

Tensorflow CPU graph construction, training, and inference for Node.js

Readme

@isidorus/cpu

High-performance TensorFlow CPU backend for Isidorus, enabling graph construction, training, and inference in Node.js environments.

Features

  • Native Addon: Uses a C++ native addon to interface directly with libtensorflow.
  • Automatic Setup: Automatically handles the download and installation of required TensorFlow libraries.
  • Inference Pool: Efficiently manage concurrent execution strategies (worker-pool vs tf-parallel).
  • Ops Library: Rich set of operations including Math, Array, NN, and Variable ops.

Installation

npm install @isidorus/cpu

Note: The install script will automatically attempt to resolve and download libtensorflow if it is missing.

Quick Start

import { graph, session, ops, DType } from "@isidorus/cpu";

const g = graph();
const x = ops.placeholder(g, "x", [null, 784], DType.FLOAT32);

const sess = session(g, { reserveCores: 2 });

Development

Native Builds

To rebuild the native C++ addon:

npm run build:native

Prebuilds

To generate prebuilt binaries for multiple Node.js versions:

npm run prebuildify