如何保存Tensorflow.js模型？

Question

我想制作一个创建、保存和训练tensorflow.js模型的用户界面。但是我不能在创建模型之后保存它。我甚至从tensorflow.js文档中复制了这段代码，但是它不起作用：

​

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();

​

我总是收到一条错误消息："Uncaught :虽然等待只在异步函数中有效“.How，我能修复这个问题吗？谢谢!

Answer 1

您需要处于异步环境中。或者创建一个异步函数(async function name(){...})并在需要时调用它，或者最短的方法是自调用异步箭头函数：

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

Answer 2

创建一个异步函数并调用它：

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();