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use crate as burn;
use crate::module::Module;
use crate::tensor::Tensor;
use crate::tensor::backend::Backend;
/// Applies the Gaussian Error Linear Units function element-wise.
/// See also [gelu](burn::tensor::activation::gelu)
#[derive(Module, Clone, Debug, Default)]
pub struct Gelu;
impl Gelu {
/// Create the module.
pub fn new() -> Self {
Self {}
}
/// Applies the forward pass on the input tensor.
///
/// # Shapes
///
/// - input: `[..., any]`
/// - output: `[..., any]`
pub fn forward<B: Backend, const D: usize>(&self, input: Tensor<B, D>) -> Tensor<B, D> {
crate::tensor::activation::gelu(input)
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn display() {
let layer = Gelu::new();
assert_eq!(alloc::format!("{layer}"), "Gelu");
}
}