1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
use burn_core as burn;
use burn::module::Module;
use burn::tensor::Tensor;
/// Applies the ReLU6 function element-wise, clamping the output to `[0, 6]`.
/// See also [relu6](burn::tensor::activation::relu6)
///
#[derive(Module, Debug, Default)]
pub struct Relu6;
impl Relu6 {
/// Create the module.
pub fn new() -> Self {
Self {}
}
/// Applies the forward pass on the input tensor.
///
/// # Shapes
///
/// - input: `[..., any]`
/// - output: `[..., any]`
pub fn forward<const D: usize>(&self, input: Tensor<D>) -> Tensor<D> {
burn::tensor::activation::relu6(input)
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn display() {
let layer = Relu6::new();
assert_eq!(alloc::format!("{layer}"), "Relu6");
}
}