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loadModel from url doesn't work in Node

See original GitHub issue

(Reported by another user (which is why I don’t have the stack trace))

loadModel with a url path doesn’t work in Node. This is most likely related to fetch missing in node. We should detect the environment and use node’s built-in HTTP, or conditionally import node-fetch when we are not in the browser.

cc @nsthorat, @tafsiri for ideas on node <–> browser interop.

Issue Analytics

State:
Created 5 years ago
Comments:23 (5 by maintainers)

Top GitHub Comments

4reactions

limscodercommented, Sep 27, 2018

I get a fetch error even when using a local file running tfjs 13.1 and node 8.11.

Models was saved from Keras with the Python package

 tfjs.converters.save_keras_model(model, path)

model = await tf.loadModel('file:///absolute/path/to/model.json');

(node:71934) UnhandledPromiseRejectionWarning: Error: browserHTTPRequest is not supported outside the web browser without a fetch polyfill.
    at new BrowserHTTPRequest (/Users/thoda22/projects/predictatron/metrics/lstm/node_modules/@tensorflow/tfjs-core/dist/io/browser_http.js:46:19)
    at Object.browserHTTPRequest (/Users/thoda22/projects/predictatron/metrics/lstm/node_modules/@tensorflow/tfjs-core/dist/io/browser_http.js:247:12)
    at Object.<anonymous> (/Users/thoda22/projects/predictatron/metrics/lstm/node_modules/@tensorflow/tfjs-layers/dist/models.js:98:50)
    at step (/Users/thoda22/projects/predictatron/metrics/lstm/node_modules/@tensorflow/tfjs-layers/dist/models.js:42:23)
    at Object.next (/Users/thoda22/projects/predictatron/metrics/lstm/node_modules/@tensorflow/tfjs-layers/dist/models.js:23:53)
    at /Users/thoda22/projects/predictatron/metrics/lstm/node_modules/@tensorflow/tfjs-layers/dist/models.js:17:71
    at new Promise (<anonymous>)
    at __awaiter (/Users/thoda22/projects/predictatron/metrics/lstm/node_modules/@tensorflow/tfjs-layers/dist/models.js:13:12)
    at Object.loadModelInternal (/Users/thoda22/projects/predictatron/metrics/lstm/node_modules/@tensorflow/tfjs-layers/dist/models.js:92:12)
    at Object.loadModel (/Users/thoda22/projects/predictatron/metrics/lstm/node_modules/@tensorflow/tfjs-layers/dist/exports.js:17:21)

Update – I also get an error when trying to run the example file loader code from @caisq: https://github.com/caisq/tfjs-dump/tree/master/tfjs-node-doodle

3reactions

caisqcommented, Mar 26, 2019

FYI, if you use tfjs-node or tfjs-node-gpu, loading a tf.LayersModel (i.e., a model converted from Keras or constructed from TF.js itself) should be working with the latest release.

Code sample:

package.json looks like:

{
    "devDependencies": {
        "@tensorflow/tfjs-node": "^1.0.2"
    }
}

Node.js code looks like:

const tf = require('@tensorflow/tfjs-node');

(async function() {
    const modelURL = `https://storage.googleapis.com/tfjs-models/tfjs/mobilenet_v1_0.25_224/model.json`;
    const model = await tf.loadLayersModel(modelURL);
    model.summary();
})();

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