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// @ts-nocheck
import { assertEquals } from "https://deno.land/std@0.180.0/testing/asserts.ts";import * as tf from "http://localhost:8080/@tensorflow/tfjs?no-dts";
Deno.test("tensorflow", async () => {  // Define a model for linear regression.  const model = tf.sequential();  model.add(tf.layers.dense({ units: 1, inputShape: [1] }));
  // Prepare the model for training: Specify the loss and the optimizer.  model.compile({ loss: "meanSquaredError", optimizer: "sgd" });
  // Generate some synthetic data for training.  const xs = tf.tensor2d([1, 2, 3, 4], [4, 1]);  const ys = tf.tensor2d([1, 3, 5, 7], [4, 1]);
  // Train the model using the data.  await model.fit(xs, ys);
  // Use the model to do inference on a data point the model hasn't seen before:  // Open the browser devtools to see the output  const output = model.predict(tf.tensor2d([5], [1, 1]));  const values = output.arraySync();
  assertEquals(output.shape, [1, 1]);  assertEquals(typeof values[0][0], "number");});