pub fn rmse_loss<S: Shape, E: Dtype, D: Device<E>, T: Tape<E, D>>(
pred: Tensor<S, E, D, T>,
targ: Tensor<S, E, D>
) -> Tensor<Rank0, E, D, T>
Expand description
Root Mean square error.
This computes (pred - targ).square().mean().sqrt()
See mse_loss() and sqrt()