function prelu_(x, alpha) {
    const $x = (0, _tensorUtilEnv.convertToTensor)(x, "x", "prelu");
    const $alpha = (0, _tensorUtilEnv.convertToTensor)(alpha, "alpha", "prelu");
    const inputs = {
        x: $x,
        alpha: $alpha
    };
    return (0, _engine.ENGINE).runKernel((0, _kernelNames.Prelu), inputs);
}
Computes leaky rectified linear element-wise with parametric alphas.

`x < 0 ? alpha * x : f(x) = x`

```js
const x = tf.tensor1d([-1, 2, -3, 4]);
const alpha = tf.scalar(0.1);

x.prelu(alpha).print();  // or tf.prelu(x, alpha)
```
@param x The input tensor.
@param alpha Scaling factor for negative values.

@doc {heading: 'Operations', subheading: 'Basic math'}