CODEWITHSUNDEEP
javascripttensorflowtensorflow.js
Karkadan
Karkadan

Reputation: 131

How to save a Tensorflow.js model?

I would like to make a user interface that creates,saves and trains tensorflow.js models. But i can't save a model after creating it. I even copied this code from the tensorflow.js documenation but it does't work: 

const model = tf.sequential(
     {layers: [tf.layers.dense({units: 1, inputShape: [3]})]});
console.log('Prediction from original model:');
model.predict(tf.ones([1, 3])).print();

const saveResults = await model.save('localstorage://my-model-1');

const loadedModel = await tf.loadModel('localstorage://my-model-1');
console.log('Prediction from loaded model:');
loadedModel.predict(tf.ones([1, 3])).print();

I always get the error message "Uncaught SyntaxError: await is only valid in async function" .How can I fix this? thanks!

Upvotes: 6

Views: 1032

Answers (2)

Harry
Harry

Reputation: 3115

Create an async function and invoke it:

async function main() {
  const model = tf.sequential({
    layers: [tf.layers.dense({ units: 1, inputShape: [3] })]
  });
  console.log("Prediction from original model:");
  model.predict(tf.ones([1, 3])).print();

  const saveResults = await model.save("localstorage://my-model-1");

  const loadedModel = await tf.loadModel("localstorage://my-model-1");
  console.log("Prediction from loaded model:");
  loadedModel.predict(tf.ones([1, 3])).print();
}

main();

Upvotes: 2

Sebastian Speitel
Sebastian Speitel

Reputation: 7346

You need to be in an async environment. Either create an async function (async function name(){...}) and call it when you need to or the shortest way would be a self invoking async arrow function:

(async ()=>{
   //you can use await in here
})()

Upvotes: 5

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