node-fetch error while loading trained model in tensorflow.js

Question

After training my tensorflow model, I converted it to the json format as required by tensorflow.js. However when I tried to load this model using javascript, I get a node-fetch error.

This is my code :

const tf = require("./tf.min.js");
(async function () {
  const modelURL = "model_js/model.json";
  const model = await tf.loadLayersModel(modelURL);
  model.summary();
})();

Complete error logs :

(node:35092) UnhandledPromiseRejectionWarning: Error: Cannot find module 'node-fetch'
    at Function.Module._resolveFilename (internal/modules/cjs/loader.js:582:15)
    at Function.Module._load (internal/modules/cjs/loader.js:508:25)
    at Module.require (internal/modules/cjs/loader.js:637:17)
    at require (internal/modules/cjs/helpers.js:22:18)
    at pw (/Users/suraj/Desktop/fake-news/tf.min.js:17:225676)
    at t.e.fetch (/Users/suraj/Desktop/fake-news/tf.min.js:17:225911)
    at t.<anonymous> (/Users/suraj/Desktop/fake-news/tf.min.js:17:255546)
    at u (/Users/suraj/Desktop/fake-news/tf.min.js:17:104674)
    at Generator._invoke (/Users/suraj/Desktop/fake-news/tf.min.js:17:104427)
    at Generator.forEach.t.(anonymous function) [as next] (/Users/suraj/Desktop/fake-news/tf.min.js:17:105031)
(node:35092) UnhandledPromiseRejectionWarning: Unhandled promise rejection. This error originated either by throwing inside of an async function without a catch block, or by rejecting a promise which was not handled with .catch(). (rejection id: 3)
(node:35092) [DEP0018] DeprecationWarning: Unhandled promise rejections are deprecated. In the future, promise rejections that are not handled will terminate the Node.js process with a non-zero exit code.

edkeveked · Accepted Answer · 2021-01-11 20:33:02Z

0

The module is not imported correctly. You most probably is importing a minified script that is intended to run in the browser. The docs covers how to get started with tensorflow.js

Install the package:

npm install @tensorflow/tfjs

Usage

import * as tf from '@tensorflow/tfjs';

answered Jan 11, 2021 at 20:33

edkeveked

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