# A One-Step Predictor (fixture)

We predict $\hat y = f_\theta(x)$ in one forward pass. The loss
$L(\hat y, y)$ is computed after the prediction; it is not a station
on the forward path.

The scale $1/\sqrt{d}$ is introduced so that the variance of the
inner product does not grow with $d$.